Supply method and device for integrated energy transformer substation and storage medium

Abstract

The invention relates to the technical field of energy supply, in particular to a comprehensive energy substation supply method and device and a storage medium, and the method comprises the steps: collecting environment parameters, geological parameters and energy demands of an underground space; based on the environment temperature, the environment humidity, the carbon dioxide concentration and the methane concentration collected in the monitoring period, environment risk factors are constructed, based on the rock stratum micro-vibration frequency, the water seepage rate and the rock stratum displacement collected in the monitoring period, geological factors are constructed, and the underground space risk index is determined by combining the environment factors and the geological factors; determining an energy supply coefficient based on the underground space risk index of the monitoring period, and generating an energy supply strategy in combination with the energy demand of the next monitoring period; determining an update factor; and updating the energy supply strategy based on the infrasonic wave harmonic ratio, the lichen conductivity and the updating factor collected in the monitoring period. The energy supply efficiency of the integrated energy transformer substation is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of energy supply technology, and in particular to a method, device and storage medium for supplying an integrated energy substation. Background Art

[0002] Traditional underground space risk management mostly relies on single environmental parameter threshold alarms and empirical energy allocation strategies, which are difficult to adapt to complex working conditions with strong concealment and significant differences in periodic characteristics: the dynamic correlation effect between short-term meteorological changes and long-term geological creep has not been fully quantified, resulting in delayed early warning of complex risks such as rock leakage and microbial corrosion; the fixed-weight energy supply model makes it difficult to achieve coordinated optimization of rapid switching of emergency lighting and flexible load reduction of conventional power supply, and is prone to chain control failures when cables experience electromagnetic transients or bioelectric parameters change.

[0003] Existing disturbance compensation mechanisms are mostly limited to short-term corrections of electromechanical parameters and lack dynamic response interfaces for long-period, cross-domain disturbances such as lichen bioactivity and infrasound harmonics. Accumulated anomalies can easily lead to equipment lifespan degradation and escalate safety hazards. This technology, through multi-factor dynamic fusion modeling and elastic energy layered regulation, systematically overcomes core flaws such as discrete risk perception, rigid strategies, and weak disturbance adaptation, providing a revolutionary solution for intelligent underground space operation and maintenance. Summary of the Invention

[0004] The object of the present invention is to provide a method, device and storage medium for supplying an integrated energy substation to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions: A comprehensive energy substation supply method, comprising: An environmental risk factor is constructed based on the ambient temperature, ambient humidity, carbon dioxide concentration, and methane concentration collected during the monitoring period. A geological factor is constructed based on the rock formation micro-vibration frequency, water seepage rate, and rock formation displacement collected during the monitoring period. The underground space risk index is determined by combining the environmental and geological factors. Determine the energy supply coefficient based on the underground space risk index during the monitoring period, and generate an energy supply strategy based on the energy demand during the next monitoring period; Compare the cable electromagnetic interference intensity collected during the monitoring period with the intensity discrimination factor to determine the update factor; The energy supply strategy is updated based on the proportion of infrasound harmonics, lichen conductivity and renewal factor collected during the monitoring period.

[0006] Furthermore, environmental parameters, geological parameters and energy requirements of the underground space are collected; The first environmental risk factor y1 is constructed based on the ambient temperature HT and ambient humidity HS collected during the monitoring period, and the second environmental risk factor y2 is constructed based on the carbon dioxide concentration Hr and methane concentration Hj collected during the monitoring period. The environmental factor is constructed based on the first environmental risk factor y1 and the second environmental risk factor y2. The expression of the environmental factor is Y=exp(3×y1×y2-3).

[0007] Furthermore, the geological factor D is constructed based on the rock formation micro-vibration frequency Fv, water seepage rate Fs and rock formation displacement Fw collected during the monitoring period, and is set as: ; Where fv is the vibration frequency threshold, fs is the water seepage rate threshold, and fw is the displacement threshold.

[0008] Furthermore, the environmental factor Y and the geological factor D are integrated and analyzed to determine the underground space risk index KF, KF=w1×Y+w2×D, w1 is the environmental weight, w2 is the geological weight, w1+w2=1.

[0009] Furthermore, the power supply coefficient Dq, heat supply coefficient Rq and emergency lighting supply coefficient Yq are determined based on the underground space risk index KF during the monitoring period; The power supply coefficient Dq is expressed as Dq=2 / (1+e -5×KF )-1; the expression of the heat supply coefficient Rq is The expression of the emergency lighting supply coefficient Yq is Yq=min(Pe / Pc,1)+KF 2 / 2, where Pc is the critical emergency lighting energy consumption threshold.

[0010] Furthermore, the power supply Gd of the next monitoring period is determined based on the power load demand Wd and the power supply coefficient Dq of the next monitoring period, where Gd=Wd×Dq; the heat supply Gr of the next monitoring period is determined based on the heat load demand Wr and the heat supply coefficient Rq of the next monitoring period, where Gr=Wr×Rq; The emergency lighting supply Gz for the next monitoring period is determined based on the emergency lighting energy consumption demand Pe and the emergency lighting supply coefficient Yq, where Gz=Pe×Yq.

[0011] Furthermore, the cable electromagnetic interference intensity Ep collected during the monitoring period is compared with the intensity discrimination factor E0. If Ep is less than or equal to E0, the update factor is set to η. Otherwise, the update factor is set to {η×{1+[(Ep-E0) / (Ep+E0)] 1.5}}, η is the preset update factor.

[0012] Furthermore, the lichen conductivity during the monitoring period is recorded as Lc, the energy supply strategy is updated according to the lichen conductivity Lc, the infrasound harmonic ratio Z and the update factor, and the power supply coefficient of the next monitoring period is set to Dq1.

[0013] In another aspect of the present application, a comprehensive energy substation supply device is provided, comprising: A collection unit for collecting environmental parameters, geological parameters and energy requirements of underground space; An index determination unit is used to construct an environmental risk factor based on the ambient temperature, ambient humidity, carbon dioxide concentration, and methane concentration collected during the monitoring period, and to construct a geological factor based on the rock formation micro-vibration frequency, water seepage rate, and rock formation displacement collected during the monitoring period, and to determine the underground space risk index by combining the environmental and geological factors; Energy supply unit, used to determine the energy supply coefficient according to the underground space risk index of the monitoring period, and generate the energy supply strategy in combination with the energy demand of the next monitoring period; A weight determination unit, configured to compare the cable electromagnetic interference intensity collected during a monitoring period with the intensity discrimination factor to determine an update factor; The updating unit is used to update the energy supply strategy according to the proportion of infrasound harmonics, lichen conductivity and updating factor collected during the monitoring period.

[0014] On another aspect of the present application, a computer-readable storage medium is provided, which stores a computer program, wherein the computer program is used to control the electronic device where the computer-readable storage medium is located to execute the integrated energy substation supply method during operation.

[0015] The beneficial effects of the present invention are as follows: by constructing a dynamic risk assessment model and an elastic layered control mechanism that integrates environment and geology across domains, deep coordinated control of underground space energy supply and safety risks is achieved: multi-physical field quantitative analysis of geological factors accurately captures the critical characteristic layers of rock stress mutations and water seepage risks, supporting differentiated energy redundancy configuration; combined with the nonlinear fusion risk index of meteorological anomalies and geological instability, it drives the dynamic coupling response of electricity and heat supply coefficients, breaking through the hysteresis bottleneck of traditional static threshold control; further through the two-way closed-loop correction logic of infrasound harmonics-lichen conductivity and electromagnetic interference-strategy anchor points, a dynamic absorption capacity for long-period environmental disturbances and biophysical coupling anomalies is formed, while ensuring the stability of critical loads, significantly reducing redundant energy consumption, forming a comprehensive technical solution with advanced warning, dynamic adaptation and anti-interference fault tolerance, which can cope with the contradiction between the superposition of hidden risks and energy resilience requirements in complex scenarios such as mines and underground energy storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of 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 creative work.

[0017] Figure 1 This is a flow chart of the integrated energy substation supply method of this embodiment.

[0018] Figure 2 This is a flow chart of the method for constructing an underground space risk index in this embodiment.

[0019] Figure 3 Schematic diagram of the flow of the energy supply strategy generation method of this embodiment.

[0020] Figure 4 This is a structural diagram of the integrated energy substation supply device of this embodiment.

[0021] Figure 5 Schematic diagram of the structure of the electronic device of this embodiment. DETAILED DESCRIPTION

[0022] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the following detailed description is illustrative rather than restrictive and should not be used to limit the scope of protection of the present invention.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] Specifically, this embodiment is applied to the coordinated supply control of underground integrated energy substations. Aiming at closed and complex geological conditions, a spatial risk index is constructed based on multi-dimensional environmental anomaly parameters and rock stratum dynamic displacement data. Combined with the cable electromagnetic interference intensity, a multi-energy coupling supply coefficient model is established. At the same time, a dynamic compensation mechanism is constructed by integrating the infrasound environmental induction effect and the bioelectric response characteristics of lichens. Through a three-level closed-loop control system of "risk perception-strategy generation-biofeedback," an elastic matching of electricity, heat, and emergency lighting is achieved under complex working conditions such as extreme micrometeorological conditions and electromagnetic harmonic disturbances. The operational goals of dynamically following load demand, intelligently eliminating supply redundancy, and minimizing multi-energy losses are accurately achieved, significantly improving the disaster prevention and emergency response capabilities and multi-energy conversion efficiency of underground energy stations.

[0025] See also Figure 1 As shown, it is a flow chart of the integrated energy substation supply method of this embodiment, including: Step S101 collects environmental parameters, geological parameters, and energy requirements of the underground space. The environmental parameters include ambient temperature, ambient humidity, carbon dioxide concentration, and methane concentration. The geological parameters include rock stratum microvibration frequency, water seepage rate, and rock stratum displacement. The energy requirements include power load requirements, heat load requirements, and emergency lighting energy consumption requirements.

[0026] For example, in this embodiment, the ambient temperature can be monitored by fixing an embedded temperature sensor (such as PT100 or a thermocouple) in a key area, the ambient humidity can be collected in real time using a capacitive humidity sensor or a resistive humidity sensor, the carbon dioxide concentration can be collected using a non-dispersive infrared (NDIR) gas sensor, the methane concentration can be monitored by a catalytic combustion sensor or a laser methane detector, the micro-vibration frequency of the rock formation can be deployed by a microseismic monitoring system and collected using a piezoelectric accelerometer or an optical fiber vibration sensor, the water seepage rate can be installed by installing an ultrasonic flow meter or an osmotic pressure sensor in the drainage pipe, the rock formation displacement can be measured using a laser displacement sensor or an inclinometer, and the energy demand parameters can be collected by a smart meter; this embodiment does not specifically limit the method of collecting the above data, and those skilled in the art can freely set it according to their needs.

[0027] Step S102: construct an environmental risk factor based on the ambient temperature, ambient humidity, carbon dioxide concentration and methane concentration collected during the monitoring period, construct a geological factor based on the rock formation micro-vibration frequency, water seepage rate and rock formation displacement collected during the monitoring period, and determine the underground space risk index by combining the environmental factor and the geological factor.

[0028] Specifically, a joint analysis framework of environment and geology will be established to enhance the dynamic adaptability of risk characterization through nonlinear coupling of multi-dimensional parameters, effectively identify hidden environmental anomalies and potential instability trends of rock formations, and strengthen the proactiveness and comprehensive judgment capabilities of risk warning.

[0029] See also Figure 2 As shown, the underground space risk index construction method includes: Step S201: constructing environmental factors based on environmental parameters collected during a monitoring period.

[0030] Specifically, step S201 constructs a first environmental risk factor based on the ambient temperature HT and ambient humidity HS collected during the monitoring period. The expression of the first environmental risk factor is y1=k1×max(HT-ht,0) / ht0+k2×max(HS-hs,0); where y1 is the first environmental risk factor, ht is the temperature threshold, ht0 is the temperature offset factor, hs is the humidity threshold, k1 is the temperature weight, k2 is the humidity weight, and k1+k2=1; The second environmental risk factor is constructed based on the carbon dioxide concentration Hr and methane concentration Hj collected during the monitoring period. The expression of the second environmental risk factor is y2=k3×ln(Hr / hr+1)+k4×Hc / hc; where y2 is the second environmental risk factor, k3 is the methane weight, k4 is the carbon dioxide weight, k3+k4=1, hr is the methane threshold, and hc is the carbon dioxide threshold. An environmental factor is constructed based on the first environmental risk factor y1 and the second environmental risk factor y2. The expression of the environmental factor is Y=exp(3×y1×y2-3).

[0031] For example, in this embodiment, the temperature threshold can be set to 30°C, the humidity threshold can be set to 0.7, the temperature offset factor can be set to 10°C, the humidity weight can be set to 0.6, the temperature weight can be set to 0.4, the methane concentration can be set to 10%, the carbon dioxide threshold can be set to 5000 ppm, the methane weight can be set to 0.7, and the carbon dioxide weight can be set to 0.3; in this embodiment, there is no specific limitation on the values of the above data, and those skilled in the art can freely set them according to their needs.

[0032] Specifically, based on the graded weight calculation of ambient temperature, humidity and gas concentration, the cumulative effect of environmental changes is quantified, breaking through the limitations of a single threshold criterion and enhancing the sensitivity to microclimate anomalies and harmful gas risks in enclosed spaces.

[0033] Please continue reading Figure 2 As shown, the underground space risk index construction method includes: Step S202: constructing geological factors based on geological parameters collected during the monitoring period.

[0034] Specifically, step S203 constructs the geological factor D based on the rock formation micro-vibration frequency Fv, water seepage rate Fs, and rock formation displacement Fw collected during the monitoring period, and sets: ; Where fv is the vibration frequency threshold, fs is the water seepage rate threshold, and fw is the displacement threshold.

[0035] For example, in this embodiment, the vibration frequency threshold can be set to 50 Hz, the water seepage rate can be set to 30 L / min, and the displacement threshold can be set to 30 mm; in this embodiment, there is no specific limitation on the values of the above data, and those skilled in the art can freely set them according to their needs.

[0036] Specifically, geological factors are constructed as quantitative representations of rock formation dynamic responses, establishing a mapping relationship between rock formation stability and energy supply capacity, providing key input parameters for cross-domain environmental-geological risk coupling analysis. By processing geological parameters across multiple physical fields, the critical characteristics of sudden rock formation stress changes and water seepage risks are intuitively reflected, supporting the precise matching of energy redundancy and safety assurance requirements in subsequent supply strategies, and avoiding supply strategy lags caused by insufficient quantification of geological anomalies.

[0037] Please continue reading Figure 2 As shown, the underground space risk index construction method includes: Step S203: Perform a fusion analysis of environmental factors and geological factors to determine the underground space risk index.

[0038] Specifically, step S203 integrates and analyzes the environmental factor Y and the geological factor D to determine the underground space risk index KF, KF=w1×Y+w2×D, w1 is the environmental weight, w2 is the geological weight, and w1+w2=1.

[0039] Illustratively, in this embodiment, the environmental weight may be set to 0.4, and the environmental weight may be set to 0.6; this embodiment does not specifically limit the setting of each weight, and those skilled in the art may freely set it according to needs.

[0040] Specifically, the nonlinear weighting of environmental and geological factors is integrated to form a unified risk assessment benchmark for the entire region, ensuring that the risk index includes the combined impact of short-term meteorological changes and long-term geological instability. The integrated risk index generated in this step directly guides the dynamic adjustment amplitude of the subsequent energy supply system, provides a quantitative basis for the exponential response relationship of the electricity / heat supply coefficient and the superimposed compensation of emergency lighting, and avoids the imbalance in energy distribution caused by single-dimensional risk assessment.

[0041] Please continue reading Figure 2 As shown, the integrated energy substation supply method includes: Step S103: determining an energy supply coefficient based on the underground space risk index of the monitoring period, and generating an energy supply strategy in combination with the energy demand of the next monitoring period.

[0042] See also Figure 3 As shown, the energy supply strategy generation method includes: Step S301: Determine the energy supply coefficient based on the underground space risk index during the monitoring period.

[0043] Specifically, the step S301 determines the power supply coefficient Dq, the heat supply coefficient Rq and the emergency lighting supply coefficient Yq based on the underground space risk index KF of the monitoring period; The power supply coefficient Dq is expressed as Dq=2 / (1+e -5×KF )-1; the expression of the heat supply coefficient Rq is The expression of the emergency lighting supply coefficient Yq is Yq=min(Pe / Pc,1)+KF 2 / 2, Pe is the emergency lighting energy consumption demand, and Pc is the critical emergency lighting energy consumption threshold.

[0044] Specifically, by constructing a multi-dimensional energy supply coefficient, discrete risk levels are converted into continuous control instructions for the energy system. The differentiated coefficient design of this step directly provides a mathematical benchmark for the subsequent dynamic adjustment of electricity and heat supply. At the same time, through the critical threshold superposition mechanism of the emergency lighting supply coefficient, it is ensured that the basic capacity of key loads is locked first when risks are triggered, avoiding emergency response delays or increased redundant energy consumption due to global unified supply.

[0045] Specifically, the critical emergency lighting energy consumption threshold is the lower limit of the electric power required to maintain the minimum safe lighting level of the underground space in the event of a sudden power outage or a main power system failure, and can be obtained through user interaction.

[0046] Please continue reading Figure 3 As shown, the energy supply strategy generation method further includes: Step S302: Generate an energy supply strategy by combining the energy supply coefficient and the energy demand of the next monitoring period.

[0047] Specifically, the step S302 determines the power supply Gd of the next monitoring period according to the power load demand Wd and the power supply coefficient Dq of the next monitoring period, where Gd=Wd×Dq; Determine the heat supply Gr for the next monitoring period based on the heat load demand Wr and heat supply coefficient Rq for the next monitoring period, Gr=Wr×Rq; The emergency lighting supply Gz for the next monitoring period is determined based on the emergency lighting energy consumption demand Pe and the emergency lighting supply coefficient Yq, where Gz=Pe×Yq.

[0048] Specifically, based on the real-time matching of demand forecasts and supply coefficients, a flexible and adjustable energy allocation strategy is generated to ensure the flexible expansion and contraction of supply capacity under different risk levels and coordinate the efficient coupling operation of multiple energy subsystems.

[0049] Please continue reading Figure 1 As shown, the integrated energy substation supply method further includes: Step S104: Compare the cable electromagnetic interference intensity collected during the monitoring period with the intensity discrimination factor to determine an update factor.

[0050] Specifically, the step S104 compares the cable electromagnetic interference intensity Ep collected during the monitoring period with the intensity discrimination factor E0. If Ep is less than or equal to E0, the update factor is set to η. Otherwise, the update factor is set to {η×{1+[(Ep-E0) / (Ep+E0)] 1.5}}, η is the preset update factor.

[0051] For example, in this embodiment, the intensity discrimination factor can be set to 5 volts per meter, and the preset update factor can be set to 0.5; this embodiment does not specifically limit the setting of the above data, and those skilled in the art can freely set it according to needs.

[0052] Specifically, through dynamic identification and feedback compensation of cable electromagnetic interference intensity, the continuous disturbance of power frequency harmonics to the supply strategy can be effectively suppressed, the system's anti-interference ability to sudden changes in the electromagnetic environment can be enhanced, and the stability and robustness of the control logic can be maintained.

[0053] Please continue reading Figure 1 As shown, the integrated energy substation supply method further includes: Step S105, updating the energy supply strategy based on the infrasound harmonic ratio, lichen conductivity and renewal factor collected during the monitoring period, wherein the infrasound harmonic ratio is the ratio of the energy in the frequency band [0.1Hz, 3Hz] to the sound energy in the full frequency band, and the lichen conductivity is a comprehensive parameter characterizing the electrical response of the lichen obtained by measuring the current difference between dark and light conditions when a constant voltage is applied to the surface of the lichen biofilm, combined with the lichen moisture content.

[0054] Specifically, in step S105, the electrical conductivity of the lichen during the monitoring period is recorded as Lc. The expression of Lc is Lc=V / |A1-A2|×[1+0.05×(SL-0.65)]; where V is the applied DC voltage, A1 is the steady-state loop current when the lichen contacts the electrode in the absence of light, A2 is the loop current after the lichen is excited under 1000 lux, and SL is the moisture content of the lichen. The energy supply strategy is updated according to the lichen conductivity Lc, the infrasound harmonic ratio Z and the update factor, and the power supply coefficient of the next monitoring period is set to Dq1, Dq1=Dq×{1-α×update factor×[ln(1+10Z) / ln11×Lc / L0]}, where L0 is the preset conductivity and α is the preset adjustment factor.

[0055] Specifically, a bio-physical feedback mechanism consisting of infrasound harmonics and lichen electrical responses is introduced, combined with a self-updating dynamic correction factor, to achieve real-time compensation of the supply strategy for hidden environmental disturbances (such as ground pressure fluctuations and microbial activities), thereby improving the system's adaptability to nonlinear and long-period environmental induced effects.

[0056] For example, in this embodiment, the preset conductivity can be set to 0.3S / m, and the preset adjustment factor can be set to 0.4; this embodiment does not specifically limit the setting of the above data, and those skilled in the art can freely set it according to needs.

[0057] Illustratively, in this embodiment, the electromagnetic interference intensity of the cable can be measured by an electromagnetic field tester or a spectrum analyzer to collect power frequency interference, the proportion of infrasound harmonics can be calculated by a wide-band acoustic sensor (0.1Hz-200Hz range) in combination with Fourier transform analysis, the applied DC voltage can be applied to the bidirectional electrodes on the surface of the lichen biofilm using a 12V DC power supply, the steady-state loop current of the lichen in contact with the electrode in the absence of light and the loop current of the lichen after being excited under 1000 lux can be collected by a high-precision ammeter, and the moisture content of the lichen can be measured by an infrared moisture meter or a capacitive humidity sensor; this embodiment does not specifically limit the method of collecting the above data, and those skilled in the art can freely set it according to their needs.

[0058] For example, in this embodiment, the monitoring period may be set to 5s. In this embodiment, there is no specific limitation on the setting of the monitoring period, and those skilled in the art may freely set it according to needs.

[0059] See also Figure 4 As shown, the integrated energy substation supply device includes: A collection unit for collecting environmental parameters, geological parameters and energy requirements of underground space; An index determination unit is used to construct an environmental risk factor based on the ambient temperature, ambient humidity, carbon dioxide concentration, and methane concentration collected during the monitoring period, and to construct a geological factor based on the rock formation micro-vibration frequency, water seepage rate, and rock formation displacement collected during the monitoring period, and to determine the underground space risk index by combining the environmental and geological factors; Energy supply unit, used to determine the energy supply coefficient according to the underground space risk index of the monitoring period, and generate the energy supply strategy in combination with the energy demand of the next monitoring period; A weight determination unit, configured to compare the cable electromagnetic interference intensity collected during a monitoring period with the intensity discrimination factor to determine an update factor; The updating unit is used to update the energy supply strategy according to the proportion of infrasound harmonics, lichen conductivity and updating factor collected during the monitoring period.

[0060] The embodiment of the present application also provides an electronic device for executing the integrated energy substation supply method. Figure 5 As shown, the electronic device includes: a processor unit 501, a memory unit 502, a communication interface unit 503 and a bus architecture unit 504. The processor unit includes at least one processor unit, which is composed of one or more of a central processing module (CPU), a graphics processing module (GPU) and a field programmable gate array (FPGA). The processing unit is configured to implement data operations and generate operation control signals by executing a code instruction set; the memory unit includes a composite structure of a non-volatile storage medium and a rewritable dynamic storage medium. The non-volatile storage medium preferably adopts a flash memory chip or a solid-state hard disk structure for solidifying and storing program codes and historical databases. The rewritable dynamic storage medium adopts a random access chip array to provide running data cache and intermediate variable temporary storage functions; the communication interface unit integrates a dual-mode communication link of a first communication module and a second communication module, wherein the first communication module implements local sensor network interconnection based on a wired data transmission link, and its physical layer protocol adapts to the Ethernet standard and the RS-485 industrial bus specification. The second communication module establishes a wide-area remote service connection based on a wireless communication link, and its protocol stack is compatible with the LoRa spread spectrum communication protocol, the fifth-generation mobile communication technology specification and the satellite communication standard; the bus architecture unit implements data interaction and clock synchronization control between core components based on the high-speed bus specification, and its topology adopts PCI Express interconnect protocol or AXI on-chip bus standard, this bus architecture unit can operably connect high-speed data paths between processor units, memory units and communication interface units, and provide a phase-aligned clock synchronization signal transmission mechanism.

[0061] This embodiment further provides a computer-readable storage medium, which physically stores computer-executable instructions. When the instructions are transmitted to the processing unit via the integrated circuit substrate, they are packaged and processed through the data channel of the bus system and then solidified into the non-volatile storage area of the storage module. The executable instructions are configured to implement the complete technical solution described in the integrated energy substation supply method when executed by the processor.

[0062] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in this field, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the implementation methods here. All obvious changes or modifications derived from the technical solution of the present invention are still within the scope of protection of the present invention.

Claims

1. A comprehensive energy substation supply method, characterized in that: include: An environmental risk factor is constructed based on the ambient temperature, ambient humidity, carbon dioxide concentration, and methane concentration collected during the monitoring period. A geological factor is constructed based on the rock formation micro-vibration frequency, water seepage rate, and rock formation displacement collected during the monitoring period. The underground space risk index is determined by combining the environmental and geological factors. Determine the energy supply coefficient based on the underground space risk index during the monitoring period, and generate an energy supply strategy based on the energy demand during the next monitoring period; Compare the cable electromagnetic interference intensity collected during the monitoring period with the intensity discrimination factor to determine the update factor; The energy supply strategy is updated based on the proportion of infrasound harmonics, lichen conductivity and renewal factor collected during the monitoring period.

2. The integrated energy substation supply method according to claim 1, characterized in that: Collect environmental parameters, geological parameters and energy requirements of underground spaces; The first environmental risk factor y1 is constructed based on the ambient temperature HT and ambient humidity HS collected during the monitoring period, and the second environmental risk factor y2 is constructed based on the carbon dioxide concentration Hr and methane concentration Hj collected during the monitoring period. The environmental factor is constructed based on the first environmental risk factor y1 and the second environmental risk factor y2. The expression of the environmental factor is Y=exp(3×y1×y2-3).

3. The integrated energy substation supply method according to claim 2, characterized in that: The geological factor D is constructed based on the rock formation micro-vibration frequency Fv, water seepage rate Fs and rock formation displacement Fw collected during the monitoring period, and is set as: ； Where fv is the vibration frequency threshold, fs is the water seepage rate threshold, and fw is the displacement threshold.

4. The integrated energy substation supply method according to claim 3, characterized in that: The environmental factor Y and the geological factor D are integrated and analyzed to determine the underground space risk index KF, KF=w1×Y+w2×D, w1 is the environmental weight, w2 is the geological weight, w1+w2=1.

5. The integrated energy substation supply method according to claim 4, characterized in that: The power supply coefficient Dq, heat supply coefficient Rq and emergency lighting supply coefficient Yq are determined based on the underground space risk index KF during the monitoring period; The power supply coefficient Dq is expressed as Dq=2 / (1+e -5×KF )-1; the expression of the heat supply coefficient Rq is The expression of the emergency lighting supply coefficient Yq is Yq=min(Pe / Pc,1)+KF 2 / 2, where Pc is the critical emergency lighting energy consumption threshold.

6. The integrated energy substation supply method according to claim 5, characterized in that: The power supply Gd of the next monitoring period is determined based on the power load demand Wd and the power supply coefficient Dq of the next monitoring period, where Gd=Wd×Dq; the heat supply Gr of the next monitoring period is determined based on the heat load demand Wr and the heat supply coefficient Rq of the next monitoring period, where Gr=Wr×Rq; The emergency lighting supply Gz for the next monitoring period is determined based on the emergency lighting energy consumption demand Pe and the emergency lighting supply coefficient Yq, where Gz=Pe×Yq.

7. The integrated energy substation supply method according to claim 6, characterized in that: Compare the cable electromagnetic interference intensity Ep collected during the monitoring period with the intensity discrimination factor E0. If Ep is less than or equal to E0, set the update factor to η. Otherwise, set the update factor to {η×{1+[(Ep-E0) / (Ep+E0)] 1.5 }}, η is the preset update factor.

8. The integrated energy substation supply method according to claim 7, characterized in that: The lichen conductivity during the monitoring period is recorded as Lc. The energy supply strategy is updated based on the lichen conductivity Lc, the infrasound harmonic ratio Z and the update factor, and the power supply coefficient of the next monitoring period is set to Dq1.

9. A comprehensive energy substation supply device, characterized in that: include: A collection unit for collecting environmental parameters, geological parameters and energy requirements of underground space; An index determination unit is used to construct an environmental risk factor based on the ambient temperature, ambient humidity, carbon dioxide concentration, and methane concentration collected during the monitoring period, and to construct a geological factor based on the rock formation micro-vibration frequency, water seepage rate, and rock formation displacement collected during the monitoring period, and to determine the underground space risk index by combining the environmental and geological factors; Energy supply unit, used to determine the energy supply coefficient according to the underground space risk index of the monitoring period, and generate the energy supply strategy in combination with the energy demand of the next monitoring period; A weight determination unit, configured to compare the cable electromagnetic interference intensity collected during a monitoring period with the intensity discrimination factor to determine an update factor; The updating unit is used to update the energy supply strategy according to the proportion of infrasound harmonics, lichen conductivity and updating factor collected during the monitoring period.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein the computer program is used to control the electronic device where the computer-readable storage medium is located to execute the integrated energy substation supply method according to any one of claims 1 to 8 during operation.

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