Monitoring and early warning system for compressed air energy storage process of underground space of coal mine

Abstract

The invention discloses a monitoring and early warning system for a compressed air energy storage process of a coal mine underground space, and the system comprises a coal mine underground space measurement module which obtains basic information of the coal mine underground space, and determines the coal mine underground space capable of compressing air energy storage according to the basic information of the coal mine underground space; the idle power driving module is used for driving a motor to drive an air compressor by utilizing excessive power when the power grid load is in a low ebb, and compressing air into high-pressure gas; the compressed air safety monitoring module monitors the stability of the air storage space and the problem of air leakage caused by instability of the air storage space; the energy storage output monitoring module monitors the conversion efficiency to monitor the compressed air energy storage process of the underground space of the coal mine; the abnormity early warning module obtains the monitoring result of the coal mine underground space and the monitoring result of the compressed air energy storage process, and early warning of the compressed air energy storage process of the coal mine underground space is achieved according to the monitoring result.

Description

Technical Field

[0001] The present invention relates to the technical field of compressed air energy storage, and in particular to a monitoring and early warning system for a compressed air energy storage process in an underground space of a coal mine. Background Art

[0002] Compressed air energy storage (CAES) is a new energy storage technology that uses compressed air to store energy. Its principle is very simple. It uses the excess or unstable power of the current power grid to compress the air and store it. Then, when power generation is needed, the high-pressure air is released in an orderly manner to drive the generator to generate electricity and input the electricity into the power grid. In view of the trend of my country's energy structure development towards renewable energy, the existing energy transmission and distribution system must solve the uncertainty problem of renewable energy, otherwise, the safety and stability of the national energy structure will face major challenges. Therefore, various energy storage technologies have emerged, among which pumped storage accounts for 95% of the world's power grid energy storage. In addition, there are molten salt energy storage, gravity battery, flywheel energy storage technology, etc. Compressed air energy storage technology is considered to be one of the most promising large-scale electrical energy storage technologies. It has the advantages of large energy storage capacity, long energy storage cycle, high safety performance, and small specific investment, which can meet the needs of large-scale and long-term energy storage.

[0003] However, compared with the rapid growth of renewable energy installed capacity, the construction speed of energy storage facilities such as pumped storage power stations is constrained by external factors such as site selection and environmental impact. To this end, it is proposed to carry out research and demonstration of new energy storage projects such as abandoned mine transformation and energy storage. The mining process of underground mines will form a huge amount of underground space resources. Using the relatively stable underground tunnel space of closed\abandoned mines and closed mines in mining as the gas storage space of compressed air energy storage power stations is one of the alternative solutions for storing and managing large amounts of electricity. The stability of underground tunnel space in coal mines during energy storage is the basis for ensuring the operation of compressed air energy storage power stations. However, the high-pressure gas pressure formed by compressed air energy storage can reach more than 10MPa. Instantaneous leakage will cause serious safety accidents. For the compressed air energy storage process in underground space of coal mines, there is still a lack of effective full-process monitoring and early warning methods. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a monitoring and early warning system for the compressed air energy storage process in the underground space of a coal mine, comprising a coal mine space measurement module, an idle power drive module, a compressed air safety monitoring module, an energy storage output monitoring module and an abnormal early warning module;

[0005] The coal mine underground space measurement module is used to obtain the basic information of the coal mine underground space, and determine the coal mine underground space that can be used for compressed air energy storage based on the basic information of the coal mine underground space;

[0006] The idle power drive module is used to use excess power to drive the motor to drive the air compressor when the grid load is low, so as to compress the air into high-pressure gas;

[0007] The compressed air safety monitoring module is used to monitor the stability of the gas storage space and the gas leakage caused by the instability of the gas storage space;

[0008] The energy storage output monitoring module is used to monitor the conversion efficiency and realize the monitoring of the compressed air energy storage process in the underground space of the coal mine;

[0009] The abnormal warning module obtains the monitoring results of the underground space of the coal mine and the compressed air energy storage process, and realizes the early warning of the compressed air energy storage process in the underground space of the coal mine according to the monitoring results.

[0010] Optionally, the coal mine spatial measurement module includes a rock layer distribution and geological condition analysis submodule, a tunnel layout analysis submodule, a stress monitoring and early warning submodule, a deformation monitoring submodule and a spatial calculation submodule;

[0011] The rock layer distribution and geological condition analysis submodule is used to analyze the rock layer distribution underground in the coal mine;

[0012] The tunnel layout analysis submodule is used to analyze the evolution law of surrounding rock stress, deformation and plastic zone;

[0013] The stress monitoring and early warning submodule is used to monitor the accumulation and changes of concentrated static loads in the near field of the surrounding rock;

[0014] The deformation monitoring submodule is used to monitor the mine rock walls and cracks using machine learning;

[0015] The space calculation submodule is used to calculate the underground space based on the underground space estimation model and the empirical value of the mine shaft and tunnel section.

[0016] Optionally, the idle power driving module includes a power recovery submodule and a compression submodule;

[0017] The power recovery submodule recovers excess power when the grid load is low;

[0018] The compression submodule is used to compress air based on the recovered power of the power recovery submodule.

[0019] Optionally, the compression submodule includes a minimum consumption calculation unit, a heat exchange unit, a gas storage unit and an expansion unit;

[0020] The minimum consumption calculation unit is used to calculate the electric power required for the compression stage;

[0021] The heat exchange unit is used to calculate the heat exchange power;

[0022] The air storage unit is used to obtain the air storage capacity based on the characteristics of the air;

[0023] The expansion unit is used to calculate the expansion power in an adiabatic process.

[0024] Optionally, the electrical power required for the compression stage is:

[0025]

[0026] Among them, η c is the compression efficiency; m a is the air quality passing through the i-th stage compressor; C p is the specific heat capacity of air at constant pressure, T c,i,in is the inlet temperature of the i-th stage compressor; β is the rated compression ratio of the compressor; γ is the specific heat ratio of ideal air.

[0027] Optionally, the heat exchange capacity is:

[0028] Q hc，i =m a，i C q (T c，i,out -T c，i，in )

[0029] Among them, T c,i,in is the inlet temperature of the i-th compressor, T c,i,out is the outlet temperature of the i-th compressor; m a,i is the mass of the fluid; C q is the specific heat of the heat transfer medium.

[0030] Optionally, the compressed air safety monitoring module includes: a pressure setting submodule, a temperature monitoring submodule, and a pressure-temperature linear representation submodule;

[0031] The pressure setting submodule is used to record the pressure set by the compressed air;

[0032] The temperature monitoring submodule is used to monitor the temperature of the air under pressure;

[0033] The pressure-temperature linear representation submodule is used to calculate the value of temperature changing with pressure using a linear regression method to obtain a linear correlation.

[0034] Optionally, the energy storage output monitoring module is used to monitor the conversion efficiency and realize the monitoring of the compressed air energy storage process in the underground space of the coal mine, which specifically includes:

[0035] Monitor the compressor and turbine components of the gas turbine during the energy storage process;

[0036] Monitor the unit specific power and compression ratio of the reheat cycle during the energy storage process;

[0037] Monitor the tightness of underground space during energy storage;

[0038] Monitor the stability of underground space during energy storage.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] Compressed air energy storage technology can use electricity to compress air during the low load period of the power grid, release energy during the peak load period of the power grid, achieve rapid startup and put into power generation, and have a fast response speed. This rapid response capability is of great significance for balancing the load of the power grid and improving energy utilization efficiency. The storage cost of compressed air energy storage is relatively low, it does not pollute the environment, and it works well when it is coordinated with renewable energy. This makes the technology have significant advantages in terms of economy and environmental protection. Compressed air energy storage technology has high safety, long life and low operating cost. These characteristics ensure the stability and reliability of the system and reduce potential safety hazards. Compressed air energy storage uses underground space in coal mines and does not occupy surface area. This not only contributes to the rational use of resources, but also effectively alleviates the problem of tight urban land resources. Coal mine monitoring and early warning technology based on big data and cloud computing can realize the mutual integration and coordinated development of multiple technologies and improve the overall performance of the monitoring and early warning system. This technical means can effectively improve the intelligence level of the system and enhance its early warning capability. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0042] Figure 1 4 is a system structure diagram of an embodiment of the present invention. Specific implementation methods

[0044] 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.

[0045] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0046] Embodiment 1

[0047] A monitoring and early warning system for compressed air energy storage process in underground coal mine space, such as Figure 1 As shown, it specifically includes: coal mine space measurement module, idle power drive module, compressed air safety monitoring module, energy storage output monitoring module and abnormal warning module.

[0048] The coal mine space measurement module is used to obtain basic information of the coal mine underground space and calculate the coal mine underground space based on the basic information of the coal mine underground space.

[0049] The coal mine spatial measurement module includes a rock stratum distribution and geological condition analysis submodule, a tunnel layout analysis submodule, a stress monitoring and early warning submodule, a deformation monitoring submodule and a spatial calculation submodule; the rock stratum distribution and geological condition analysis submodule is used to analyze the rock stratum distribution underground in the coal mine; the tunnel layout analysis submodule is used to analyze the evolution law of surrounding rock stress, deformation and plastic zone; the stress monitoring and early warning submodule is used to monitor the accumulation and change of concentrated static loads in the near field of surrounding rock; the deformation monitoring submodule is used to monitor mine rock walls and cracks using machine learning; the spatial calculation submodule is used to calculate the underground space based on the empirical value of the mine tunnel section based on the underground space estimation model.

[0050] In this embodiment, an adversarial discriminant domain adaptive network based on a capsule network is used to monitor cracks in the rock wall of a mine, specifically including: extracting image features of tunnel cracks using an adversarial discriminant domain adaptive algorithm based on a capsule network, and using a capsule network to transform the original feature vector into a capsule vector. In ADDA, a conditional domain classifier and a reconstruction loss function are introduced. The conditional domain classifier is mainly used to distinguish different fields and classify capsule representations into different domains. The reconstruction loss function improves the adversarial effect by supervising and optimizing the target domain. Use the optimized adversarial discriminant domain adaptive network based on a capsule network to monitor cracks in the rock wall of a mine.

[0051] In the present invention, the content of using the underground space calculation model to calculate the underground available space of the coal mine specifically includes: obtaining the point cloud data of the goaf of the mine and the spatial connection between the point cloud data, establishing a triangulated network model of the goaf shape based on the point cloud data and the spatial connection, and projecting multiple triangular areas in the triangulated network model to a preset plane area to obtain a plurality of projected triangular areas. According to one of the triangular areas and the projected triangular area corresponding to the triangular area and the triangular projection volume algorithm, the target volume is obtained, and the spatial volume of the goaf and the underground available space of the mine can be obtained by summing all the target volumes.

[0052] Spatial topological relationship refers to the relationship between various spatial data that satisfies the principles of topological geometry. That is, the adjacency, association, inclusion and connectivity between entities represented by points, lines and surfaces. Based on this, the terminal device can use point cloud data as points, and based on the adjacency relationship between points in the spatial topological relationship, realize the interconnection between multiple point cloud data. Furthermore, the terminal device can establish a solid triangulated network model for representing the shape of the goaf. Among them, the solid triangulated network model is composed of multiple triangular areas, and the vertices of each triangular area are point cloud data.

[0053] The idle power drive module is used to use the remaining electricity to drive the electric motor to drive the air compressor when the grid load is low, thereby compressing the air into high-pressure gas.

[0054] The idle power driving module includes a power recovery submodule and a compression submodule; the power recovery submodule recovers excess power when the grid load is low; the compression submodule is used to compress air based on the recovered power of the power recovery submodule.

[0055] The power recovery subunit includes an idle mains power recovery and utilization part and a photovoltaic power recovery part; the photovoltaic power recovery part predicts the amount of electricity obtained by the photovoltaic panel and inputs the obtained electricity into the power recovery subunit; the idle mains power recovery and utilization part must first determine whether the current mains power charging is turned on, whether the current power is sufficient for the function and has surplus, and then input the surplus after recovering the current mains power function into the power recovery subunit; the power recovery subunit analyzes the received current numerical data, and determines the ratio of mains power to photovoltaic power based on the analysis results; the power is allocated based on the power required by the compression submodule, and when allocating power, adjustments are made based on the real-time data of the idle mains power recovery and utilization part and the photovoltaic power recovery part.

[0056] The process of photovoltaic power recovery by predicting the amount of electricity obtained by photovoltaic panels includes: using autoregressive modules, moving average models and differential checks to form a photovoltaic power generation available quantity prediction model, specifically including: judging whether the time series data of current input is stable, performing model identification, parameter estimation, and model verification on the processed stable data to predict the qualified model, and obtaining the available quantity prediction result. After the original data is processed by detrending the trend line and d-order differential operation, the time series is obtained, and the photovoltaic power generation available quantity prediction model is established based on the time series. The model identification adopts the order determination method of Akaike information criterion to identify the model, and the AICPA function of the normal sequence is used to determine the model order of the established photovoltaic power generation available quantity prediction model. When the order is determined, the autoregressive coefficient, East China average coefficient and white noise variance in the model are estimated. When performing parameter estimation, the parameters of the photovoltaic power generation available quantity prediction model are obtained based on the least squares method of the photovoltaic power generation available quantity prediction model. After the model identification and parameter estimation are completed, the model is tested, that is, whether the residual (the difference between the original signal and the model fitting signal) is tested for stationary white noise. If the residual is a white noise signal of random normal distribution, the test passes and the photovoltaic power generation available quantity prediction model is established.

[0057] However, the medium- and long-term available power of photovoltaic power generation is affected by the accuracy of medium- and long-term light resource prediction, failure of photovoltaic power station operation equipment and the quality of actual operation data, which will cause errors in the prediction of photovoltaic power generation available quantity prediction model. HMM is a kind of Markov chain. The error results predicted by the photovoltaic power generation available quantity prediction model cannot be directly observed, but the relationship between the observed state and the implicit state can be described in the form of probability distribution through the vector sequence of observation values. HMM is used to correct the prediction error results of the photovoltaic power generation available quantity prediction model to improve the prediction accuracy of the prediction model. The residual generated by the photovoltaic power generation available quantity prediction model obeys the random normal distribution. The standard deviation of the residual of the photovoltaic power generation available quantity prediction model prediction result is used as the threshold for hidden state division. The prediction residual greater than the standard deviation of the residual is defined as the underestimated state E2, the prediction residual less than the negative residual standard deviation is defined as the overestimated state E3, and the remaining prediction residuals are three implicit states of the normal state E1. According to the photovoltaic power generation available quantity prediction model, the observed values ​​are predicted and divided into four states of Q1-Q4 using the K-means partition clustering method. The prediction results of the photovoltaic power generation availability prediction model are corrected by the hidden state probability distribution estimated by the HMM prediction model, and the corrected results are:

[0058] w′ t =B jk ·[w t , w t +σ,w t -σ]

[0059] Among them, w′ t is the value corrected by the HMM model, σ is the standard value of the residual, and w t is the predicted value obtained by the photovoltaic power generation availability prediction model.

[0060] When the mains surplus + photovoltaic power > the power required for compression, the control module determines that the mains and solar energy are currently in a coordinated charging state, and the maximum current exceeds the rated charging current, and the mains input current photovoltaic power needs to be reduced to the required power surplus for compression, and the required power surplus for compression = the required power for compression - photovoltaic power; when the mains surplus + photovoltaic power = the required power for compression, the control module determines that the mains and solar energy are currently in a coordinated charging state, and the maximum current is equal to the rated charging current, and the current input currents of the mains and solar energy do not need to be adjusted; when the mains surplus + photovoltaic power < the required power for compression, the control module determines that the mains and solar energy are currently in a coordinated charging state, and the maximum current is less than the rated charging current, and the current input currents of the mains and solar energy do not need to be adjusted; when the mains surplus > 0, the control module determines that the solar panel can obtain current and turns on the solar current charging state.

[0061] In this embodiment, since sunlight is greatly affected by environmental factors and a large difference change may occur in a short period of time, the current value obtained by the solar panel is in a changing state at any time. During charging, in order to cooperate with the volatility of the current obtained by the solar module, the control module adjusts the charging current of the AC power module in real time according to the current value obtained by the solar module, ensuring the constancy of the amount of electricity required for compression during charging and maximizing the charging of the remaining AC power.

[0062] The compression submodule includes a minimum consumption calculation unit, a heat exchange unit, an air storage unit and an expansion unit; the minimum consumption calculation unit is used to calculate the electric power required for the compression stage; the heat exchange unit is used to calculate the heat exchange power; the air storage unit is used to obtain the air storage capacity based on the characteristics of the air; and the expansion unit is used to calculate the expansion power in the adiabatic process.

[0063] The electrical power required for the compression stage is:

[0064]

[0065] Among them, η c is the compression efficiency; m a is the air quality passing through the i-th stage compressor; C p is the specific heat capacity of air at constant pressure, T c，i，in is the inlet temperature of the i-th stage compressor; β is the rated compression ratio of the compressor; γ is the specific heat ratio of ideal air.

[0066] The heat exchange power is:

[0067] Q hc，i =m a，i C q (T c，i，out -T c，i，in )

[0068] Among them, T c，i，in is the inlet temperature of the i-th compressor, T c，i，out is the outlet temperature of the i-th compressor; m a，i is the mass of the fluid; C q is the specific heat of the heat transfer medium.

[0069] The capacity equation of gas storage equipment is:

[0070]

[0071] in, is the air input; is the air output; It is the efficiency parameter in the gas conversion process.

[0072] Expansion power:

[0073]

[0074] η t is the expansion efficiency; i is the rated expansion ratio of the expander; T t,i,in is the inlet temperature of the i-th stage turbine.

[0075] The compressed air safety monitoring module is used to monitor the temperature of compressed air during storage.

[0076] Pressure setting submodule, temperature monitoring submodule, pressure-temperature linear representation submodule; the pressure setting submodule is used to record the pressure set by the compressed air; the temperature monitoring submodule is used to monitor the temperature of the air under the action of pressure; the pressure-temperature linear representation submodule is used to use a linear regression method to calculate the value of the temperature changing with the pressure to obtain a linear correlation.

[0077] The compressed air safety monitoring module also needs to monitor the stability of the gas storage space and dangerous factors such as instantaneous leakage of high-pressure gas caused by spatial instability, including: a leakage monitoring submodule, and the process of the submodule monitoring the gas leakage includes: continuously acquiring infrared images, monitoring the infrared images for leaked gas, and obtaining monitoring results, the monitoring results including whether there is a leaking gas target in the infrared image, and the image area of ​​the leaking gas target in the infrared image. Continuously acquire the video corresponding to the infrared image in which the leaking gas target is detected, and extract the background image from the video; the background image refers to the infrared image in which the leaking gas target is not detected in the video: based on the image area of ​​the leaking gas target in the infrared image, determine the background area corresponding to the image area in the background image; perform differential processing on the image area in the infrared image and the background area in the background image to obtain a differential image: obtain the recognition result based on whether the differential image contains the leaking gas target. The differential image is filtered to obtain a differential filtered image; the differential filtered image is superimposed with the infrared image in which the leaking gas target is detected to obtain a superimposed image: if the leaking gas target is included in the superimposed image, the recognition result indicates that the differential image contains the leaking gas target.

[0078] The energy storage output monitoring module is used to monitor the conversion efficiency and realize the monitoring of the compressed air energy storage process in the underground space of the coal mine.

[0079] The energy storage output monitoring module is used to monitor the conversion efficiency and realize the monitoring of the compressed air energy storage process in the underground space of the coal mine. Specifically, it includes: monitoring the compressor components and turbine components of the gas turbine during the energy storage process; monitoring the unit specific work and compression ratio of the reheat cycle during the energy storage process; monitoring the airtightness of the underground space during the energy storage process; and monitoring the stability of the underground space during the energy storage process.

[0080] The specific method of stability monitoring includes: first, through field exploration and geological survey, a three-dimensional model of the underground space of the coal mine is established, and the structure, distribution, lithology, fractures and rock formation inclination, inclination, etc. of the underground space of the coal mine are described and studied in detail, so as to obtain the basic information of the underground space of the coal mine under the engineering geological environment. Modern large-scale deformation monitoring instruments are used to monitor the underground space of the coal mine in real time, record the deformation of the underground space of the coal mine during mining and transportation at different working faces, and obtain real-time deformation and stress data of the underground space of the coal mine, which provides a basis for the next simulation calculation. The mechanical simulation calculation of the underground space of the coal mine is carried out by three-dimensional numerical simulation method, and the parameters such as stress, strain, deformation and deformation rate of the underground space of the coal mine under different working conditions are obtained. Some commercial software such as FLAC, ABAQUS and PHASE are used. By comparing with the measured data, the numerical simulation results are corrected and analyzed to obtain the actual state of the mine with higher restoration and more accurate. Based on the corrected simulation results and measured data, the stability and adaptability of the underground space of the coal mine are calculated and analyzed through drilling sampling and rock mechanics experiments, and the stability evaluation of the underground space of the coal mine is obtained.

[0081] As a common energy conversion device, the improvement of the energy conversion efficiency of gas turbine units is crucial to the benefits of energy utilization. The energy conversion efficiency of gas turbine units can be improved by optimizing the design and operating parameters of gas turbine units. For example, adopting high-efficiency gas turbines, optimizing overall cycle efficiency, and reducing energy losses.

[0082] Modern environmental monitoring technology is widely used in environmental monitoring, including various basic instrument analysis methods and operating skills, as well as the development level and trend of new technologies. In the process of compressed air energy storage in the underground space of coal mines, these technologies can be used for real-time monitoring and data collection. For example, sensors and monitoring equipment are used to detect key parameters such as temperature, humidity, and pressure in the compressed air storage space to ensure the safe and stable operation of the energy storage system. When compressed air energy storage is carried out in the underground space of abandoned coal mines, the monitoring of the compressed air storage space and the monitoring of the operating status of the gas unit are realized. By integrating a variety of monitoring methods, such as video monitoring, data acquisition, and remote control, comprehensive monitoring of the entire energy storage process is achieved. The permanent tunnels and chambers of abandoned coal mines can be used as compressed air storage spaces. When designing an energy storage system, its pressure-resistant sealing capacity, safety and stability, and interface issues with the power grid need to be considered. Through scientific and reasonable design, the underground space of abandoned mines can be maximized for efficient compressed air storage.

[0083] The use of digital and intelligent technologies to manage gas units and compressed air energy storage systems can significantly improve the operating efficiency and safety of the system. For example, remote monitoring and automatic control of equipment through the Internet of Things (IoT) technology can timely discover and deal with potential problems to ensure the stable operation of the system. Through the above steps, the conversion efficiency based on the detection of gas units can be effectively realized, and the compressed air energy storage process in the underground space of coal mines can be fully monitored, thereby improving energy utilization efficiency and system safety.

[0084] The abnormal warning module is used to obtain the monitoring results of the underground space of the coal mine and the compressed air energy storage process, and to provide early warning for the compressed air energy storage process in the underground space of the coal mine based on the monitoring results.

[0085] By using technologies such as the Internet of Things, big data, cloud computing and mobile Internet, we can access the data of major equipment and monitoring systems of qualified mines to achieve basic information management of coal mine equipment and networking of major equipment and monitoring systems. This can be achieved by establishing a unified data system to ensure that data from all relevant equipment and systems can be shared and analyzed in real time. Real-time monitoring of various parameters of underground space in coal mines, such as temperature, humidity, pressure, etc., and dynamic evaluation. Through the self-developed HTfor Web product of Tupu Software, we can create an advanced compressed air energy storage monitoring system to simulate and analyze the operation process of compressed air energy storage systems, as well as the performance and operating efficiency of equipment such as compressors, storage tanks, and generators. Digital twin technology can achieve real-time visual monitoring and process optimization of energy storage power station operation data. Based on the monitoring data, we can use big data and artificial intelligence technology to conduct in-depth analysis to identify potential risk points and abnormal situations. For example, cluster analysis and pattern recognition technology can be used to predict possible problems and issue early warnings in a timely manner. Improve the automation and intelligence level of coal mine monitoring and early warning systems, build an interoperable network from coal mining enterprises to local regulatory and supervisory departments to national supervisory agencies, and realize safety monitoring, personnel positioning and data sharing. This can be achieved by upgrading and transforming the existing security monitoring system, increasing the ability of multi-integration and information sharing, and improving the level of prediction and early warning. Regularly maintain and optimize the monitoring system to ensure its stability and reliability.

[0086] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. A monitoring and early warning system for compressed air energy storage process in underground coal mine space, characterized in that: The system includes: a coal mine underground space measurement module, an idle power drive module, a compressed air safety monitoring module, an energy storage output monitoring module and an abnormal warning module; The coal mine underground space measurement module is used to obtain the basic information of the coal mine underground space, and determine the coal mine underground space that can be used for compressed air energy storage based on the basic information of the coal mine underground space; The idle power drive module is used to use excess power to drive the motor to drive the air compressor when the grid load is low, so as to compress the air into high-pressure gas; The compressed air safety monitoring module is used to monitor the temperature of the compressed air during storage; The energy storage output monitoring module is used to monitor the conversion efficiency and realize the monitoring of the compressed air energy storage process in the underground space of the coal mine; The abnormal warning module obtains the monitoring results of the underground space of the coal mine and the compressed air energy storage process, and realizes the early warning of the compressed air energy storage process in the underground space of the coal mine according to the monitoring results.

2. The monitoring and early warning system for compressed air energy storage process in underground space of coal mine according to claim 1 is characterized in that: The coal mine spatial measurement module includes a rock layer distribution and geological condition analysis submodule, a tunnel layout analysis submodule, a stress monitoring and early warning submodule, a deformation monitoring submodule and a spatial calculation submodule; The rock layer distribution and geological condition analysis submodule is used to analyze the rock layer distribution underground in the coal mine; The tunnel layout analysis submodule is used to analyze the evolution law of surrounding rock stress, deformation and plastic zone; The stress monitoring and early warning submodule is used to monitor the accumulation and changes of concentrated static loads in the near field of the surrounding rock; The deformation monitoring submodule is used to monitor the mine rock walls and cracks using machine learning; The space calculation submodule is used to calculate the underground space based on the underground space estimation model and the empirical value of the mine shaft and tunnel section.

3. The monitoring and early warning system for compressed air energy storage process in underground space of coal mine according to claim 1 is characterized in that: The idle power driving module includes a power recovery submodule and a compression submodule; The power recovery submodule is used to recover excess power when the grid load is low; The compression submodule is used to compress air based on the recovered power of the power recovery submodule.

4. The monitoring and early warning system for compressed air energy storage process in underground space of coal mine according to claim 3 is characterized in that: The compression submodule includes a minimum consumption calculation unit, a heat exchange unit, a gas storage unit and an expansion unit; The minimum consumption calculation unit is used to calculate the electric power required for the compression stage; The heat exchange unit is used to calculate the heat exchange power; The air storage unit is used to obtain the air storage capacity based on the characteristics of the air; The expansion unit is used to calculate the expansion power in an adiabatic process.

5. The monitoring and early warning system for compressed air energy storage process in underground space of coal mine according to claim 4 is characterized in that: The electrical power required for the compression stage is: Among them, η c is the compression efficiency; m a is the air quality passing through the i-th stage compressor; C p is the specific heat capacity of air at constant pressure, T c,i,in is the inlet temperature of the i-th stage compressor; β is the rated compression ratio of the compressor; γ is the specific heat ratio of ideal air.

6. The monitoring and early warning system for compressed air energy storage process in underground space of coal mine according to claim 4 is characterized in that: The heat exchange power is: Q hc，i =m a，i C q (T c，i，out -T c，i，in ) Among them, T c,i,in is the inlet temperature of the i-th compressor, T c,i,out is the outlet temperature of the i-th compressor; m a,i is the mass of the fluid; C q is the specific heat of the heat transfer medium.

7. The monitoring and early warning system for compressed air energy storage process in underground coal mine space according to claim 1 is characterized in that: The compressed air safety monitoring module includes: a pressure setting submodule, a temperature monitoring submodule and a pressure-temperature linear representation submodule; the pressure setting submodule is used to record the pressure set for the compressed air; the temperature monitoring submodule is used to monitor the temperature of the air under the action of pressure; the pressure-temperature linear representation submodule is used to calculate the value of the temperature changing with the pressure using a linear regression method to obtain a linear correlation.

8. The monitoring and early warning system for compressed air energy storage process in underground space of coal mine according to claim 1 is characterized in that: The energy storage output monitoring module is used to monitor the conversion efficiency and realize the monitoring of the compressed air energy storage process in the underground space of the coal mine. Specifically, it includes: Monitor the compressor and turbine components of the gas turbine during the energy storage process; Monitor the unit specific power and compression ratio of the reheat cycle during the energy storage process; Monitor the tightness of underground space during energy storage; Monitor the stability of underground space during energy storage.

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