Energy-saving control system and method based on coal mine hot air unit

Abstract

The present application relates to the technical field of coal mine hot air unit, disclose a kind of based on coal mine hot air unit's energy-saving control system and method, acquisition module obtains the first multi-dimension environmental parameter of mine and corresponding multi-dimension state parameter of coal mine hot air unit;Judgment module according to the first multi-dimension environmental parameter and multi-dimension state parameter, judge whether mine meets the preset priority demand satisfaction condition, priority demand satisfaction condition includes the use demand satisfaction condition and / or safety demand satisfaction condition of each subarea of mine;Control module when judgment module judges that mine meets priority demand satisfaction condition, then according to priority demand satisfaction condition and newly obtained second multi-dimension environmental parameter of mine, generates the dynamic energy-saving control instruction of coal mine hot air unit, to regulate and control multi-dimension state parameter.It can be seen that the present application can improve the accuracy of energy-saving control of coal mine hot air unit.

Description

Technical Field

[0001] This invention relates to the field of coal mine hot air handling unit technology, and in particular to an energy-saving control system and method based on coal mine hot air handling unit. Background Technology

[0002] Coal mines, as important energy production bases, are themselves high-energy-consuming units. In frigid regions or during winter, coal mine hot air units (also known as mine heating units) play a crucial role in ensuring safe production and personnel comfort, providing insulation, frost protection, and preheating for ventilation at air intakes, underground work areas, and surface industrial areas. These devices typically have enormous power and long operating hours, and their energy consumption accounts for a significant proportion of the total energy consumption in the mining area, making them an important optimization link for enterprises to reduce costs, increase efficiency, and achieve "dual carbon" goals.

[0003] However, practice has shown that traditional hot air handling unit control mainly relies on the experience of operators for manual adjustment. In practice, operators usually set the operating parameters of the hot air handling unit manually based on historical experience, limited environmental perception (such as the temperature of individual points), and subjective judgment. Once the parameters are set, if the operators do not actively adjust the operating parameters, the hot air handling unit will often operate based on these manually set operating parameters for a long time. This results in the phenomenon that when the internal and external environment of the mine changes, and the actual temperature and humidity in some areas have reached or even exceeded the comfort requirements, the hot air handling unit continues to supply heat and air according to the original set operating parameters, i.e., overheating supply, which causes the hot air handling unit to operate continuously with high energy consumption.

[0004] Therefore, it is particularly important to propose a technical solution to improve the accuracy of energy-saving control of coal mine hot air units. Summary of the Invention

[0005] This invention provides an energy-saving control system and method based on coal mine hot air blower units, which can improve the accuracy of energy-saving control of coal mine hot air blower units.

[0006] To address the aforementioned technical problems, the first aspect of this invention discloses an energy-saving control system based on a coal mine hot air unit, the system comprising:

[0007] The acquisition module is used to acquire the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional status parameters of the coal mine hot air unit;

[0008] The judgment module is used to determine whether the mine meets the preset priority demand satisfaction conditions based on the first multi-dimensional environmental parameters and the multi-dimensional state parameters. The priority demand satisfaction conditions include the usage demand satisfaction conditions and / or safety demand satisfaction conditions for each partition of the mine.

[0009] The control module is used to generate dynamic energy-saving control instructions for the coal mine hot air unit based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine when the judgment module determines that the mine meets the priority demand satisfaction condition, so as to regulate the multi-dimensional state parameters.

[0010] As an optional implementation, in the first aspect of the present invention, the coal mine hot air unit includes hot air blower equipment corresponding to each of the partitions, and the specific method by which the judgment module determines whether the mine meets the preset priority demand satisfaction condition based on the first multi-dimensional environmental parameters and the multi-dimensional state parameters includes:

[0011] Based on the partition environment parameters in the first multi-dimensional environmental parameters and the partition equipment status parameters in the multi-dimensional status parameters, the usage demand satisfaction value of each partition of the mine is calculated respectively; the partition environment parameters are used to represent the environmental condition of the partition; the partition equipment status parameters are used to represent the operating status of the hot air blower equipment serving the partition;

[0012] Based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters, the safety requirement satisfaction value of each zone of the mine is calculated respectively; the safety environment parameters are used to represent preset key environmental indicators that affect the operational safety level of the mine; the safety equipment status parameters are used to represent the operational status indicators of the hot air blower equipment related to safety.

[0013] Based on the calculated usage requirement satisfaction value and security requirement satisfaction value of each partition, determine whether they are greater than or equal to their respective preset satisfaction thresholds.

[0014] When it is determined that the usage requirement satisfaction value and the safety requirement satisfaction value of a preset number of the partitions are greater than or equal to their respective preset satisfaction thresholds, then the mine is determined to meet the preset priority requirement satisfaction condition.

[0015] As an optional implementation, in the first aspect of the present invention, the specific method by which the judgment module calculates the usage requirement satisfaction value of each partition of the mine based on the partition environment parameters in the first multi-dimensional environmental parameters and the partition equipment status parameters in the multi-dimensional status parameters includes:

[0016] For each partition, a first distance value is calculated between the partition environment parameters of the partition and the preset target range of the partition environment requirements of the partition. The first distance value is used to represent the degree of deviation between the partition environment parameters and the corresponding preset target range of the partition environment requirements.

[0017] Calculate a first matching degree value between the partition device status parameters of the partition and the theoretical device status parameters required to achieve the target range of the partition environment requirements of the partition. The first matching degree value is used to represent the degree of matching between the partition device status parameters and the corresponding theoretical device status parameters.

[0018] Based on all the first distance values ​​and all the first matching degree values ​​and their respective corresponding preset first priority values, the usage requirement satisfaction value of each of the mine's partitions is calculated, and the preset first priority value is associated with the attribute parameters of each partition.

[0019] As an optional implementation, in the first aspect of the present invention, the specific method by which the judgment module calculates the safety requirement satisfaction value of each zone of the mine based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters includes:

[0020] For each partition, a second distance value is calculated between the security environment parameter of the partition and a preset security threshold value for the partition. The second distance value is used to represent the degree of deviation of the security environment parameter relative to the corresponding security threshold value. The security threshold value is used to define a preset security boundary for the key security indicators of the partition.

[0021] Calculate a second matching degree value between the safety device status parameters and the safety device baseline status parameters of the partition, wherein the safety device baseline status parameters are used to characterize the minimum equipment operation requirements to meet preset safety requirements; the second matching degree value is used to indicate the degree of matching between the safety device status parameters and the safety device baseline status parameters.

[0022] Based on all the second distance values ​​and all the second matching degree values ​​and their respective corresponding preset second priority values, the safety requirement satisfaction value of each of the mine's partitions is calculated; the preset second priority value is associated with the current work items of each partition.

[0023] As an optional implementation, in the first aspect of the present invention, the control module generates dynamic energy-saving control instructions for the coal mine hot air unit based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine. The specific methods for regulating the multi-dimensional state parameters include:

[0024] Extract the usage requirement satisfaction value and safety requirement satisfaction value of each zone of the mine, as well as their respective preset first priority value and preset second priority value, from the priority requirement satisfaction condition;

[0025] Based on the extracted usage requirement satisfaction value, safety requirement satisfaction value, preset first priority value, preset second priority value, and newly acquired second multi-dimensional environmental parameters of the mine, the target state parameters to be regulated for each zone of the mine are determined respectively; the target state parameters are used to characterize the operating state of the corresponding hot air blower equipment of the zone required to achieve energy saving under the condition of satisfying the priority requirement satisfaction of the corresponding zone.

[0026] Based on the target state parameters determined by all the partitions and their corresponding preset first priority value and preset second priority value, a collaborative control strategy for the coal mine hot air unit is generated; the collaborative control strategy is used to coordinate the resource allocation and operating parameter settings of the hot air equipment in different partitions.

[0027] Based on the aforementioned coordinated control strategy, dynamic energy-saving control commands are generated for the coal mine hot air unit to regulate the multi-dimensional state parameters.

[0028] As an optional implementation, in the first aspect of the present invention, the control module determines the target state parameters to be regulated for each zone of the mine based on the extracted usage requirement satisfaction value, the safety requirement satisfaction value, the preset first priority value, the preset second priority value, and the newly acquired second multi-dimensional environmental parameters of the mine, in the following specific ways:

[0029] For each partition, a first dynamic adjustment coefficient for the partition's usage dimension is calculated based on the partition's usage demand satisfaction value and the preset first priority value. The first dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current usage demand satisfaction and its importance level.

[0030] Based on the security requirement satisfaction value and the preset second priority value of the partition, calculate the second dynamic adjustment coefficient of the security dimension of the partition. The second dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current security requirement satisfaction and its urgency level.

[0031] Based on the current environmental parameters in the newly acquired second multi-dimensional environmental parameters of the mine and the preset environmental parameter benchmark value for the partition, the environmental state offset of the partition is determined; the current environmental parameters are used to represent the latest environmental status of the corresponding partition; the environmental parameter benchmark value is used to characterize the reference environmental level of the partition under preset typical working conditions;

[0032] Based on the first dynamic adjustment coefficient, the second dynamic adjustment coefficient, the environmental state offset, and the rated operating parameters of the hot air blower equipment in the zone, the preliminary target state parameters to be regulated for the zone are calculated; the rated operating parameters are used to define the standard operating capacity range of the hot air blower equipment in the zone.

[0033] Based on the topological relationships and equipment operation coupling characteristics between the zones of the mine, the energy consumption coupling influence factor of the zone relative to other zones is determined; the energy consumption coupling influence factor is used to quantify the degree of indirect impact of the zone's state parameter adjustment on the overall system energy consumption;

[0034] Based on the preliminary target state parameters and the energy consumption coupling influence factor, the final target state parameters to be regulated for this partition are obtained by correction.

[0035] As an optional implementation, in the first aspect of the present invention, the specific method by which the control module generates a coordinated control strategy for the coal mine hot air unit based on the target state parameters determined by all the partitions and their corresponding preset first priority value and preset second priority value includes:

[0036] Determine the total schedulable resources and operational constraints of the coal mine hot air unit; the operational constraints include the equipment safety threshold of the hot air unit and the preset minimum resource guarantee for each zone;

[0037] Identify the resource difference between the resource requirement corresponding to the target state parameter of each partition and the total schedulable resources;

[0038] The target state parameters of each partition are dynamically adjusted based on the preset first priority value, the preset second priority value, and the resource difference of each partition.

[0039] Based on the adjusted target state parameters, a coordinated control strategy for the coal mine hot air unit is generated.

[0040] A second aspect of this invention discloses an energy-saving control method based on a coal mine hot air unit, the method comprising:

[0041] Obtain the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional state parameters of the coal mine hot air unit;

[0042] Based on the first multi-dimensional environmental parameters and the multi-dimensional state parameters, it is determined whether the mine meets the preset priority demand satisfaction conditions. The priority demand satisfaction conditions include the usage demand satisfaction conditions and / or safety demand satisfaction conditions for each zone of the mine.

[0043] When it is determined that the mine meets the priority demand satisfaction condition, a dynamic energy-saving control command for the coal mine hot air unit is generated based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine, so as to regulate the multi-dimensional state parameters.

[0044] As an optional implementation, in a second aspect of the present invention, the coal mine hot air unit includes hot air blower equipment corresponding to each of the partitions, and the step of determining whether the mine meets the preset priority demand satisfaction condition based on the first multi-dimensional environmental parameters and the multi-dimensional state parameters includes:

[0045] Based on the partition environment parameters in the first multi-dimensional environmental parameters and the partition equipment status parameters in the multi-dimensional status parameters, the usage demand satisfaction value of each partition of the mine is calculated respectively; the partition environment parameters are used to represent the environmental condition of the partition; the partition equipment status parameters are used to represent the operating status of the hot air blower equipment serving the partition;

[0046] Based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters, the safety requirement satisfaction value of each zone of the mine is calculated respectively; the safety environment parameters are used to represent preset key environmental indicators that affect the operational safety level of the mine; the safety equipment status parameters are used to represent the operational status indicators of the hot air blower equipment related to safety.

[0047] Based on the calculated usage requirement satisfaction value and security requirement satisfaction value of each partition, determine whether they are greater than or equal to their respective preset satisfaction thresholds.

[0048] When it is determined that the usage requirement satisfaction value and the safety requirement satisfaction value of a preset number of the partitions are greater than or equal to their respective preset satisfaction thresholds, then the mine is determined to meet the preset priority requirement satisfaction condition.

[0049] As an optional implementation, in a second aspect of the invention, the step of calculating the usage requirement satisfaction value for each zone of the mine based on the zoned environmental parameters in the first multi-dimensional environmental parameters and the zoned equipment status parameters in the multi-dimensional status parameters includes:

[0050] For each partition, a first distance value is calculated between the partition environment parameters of the partition and the preset target range of the partition environment requirements of the partition. The first distance value is used to represent the degree of deviation between the partition environment parameters and the corresponding preset target range of the partition environment requirements.

[0051] Calculate a first matching degree value between the partition device status parameters of the partition and the theoretical device status parameters required to achieve the target range of the partition environment requirements of the partition. The first matching degree value is used to represent the degree of matching between the partition device status parameters and the corresponding theoretical device status parameters.

[0052] Based on all the first distance values ​​and all the first matching degree values ​​and their respective corresponding preset first priority values, the usage requirement satisfaction value of each of the mine's partitions is calculated, and the preset first priority value is associated with the attribute parameters of each partition.

[0053] As an optional implementation, in a second aspect of the invention, the step of calculating the safety requirement satisfaction value for each zone of the mine based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters includes:

[0054] For each partition, a second distance value is calculated between the security environment parameter of the partition and a preset security threshold value for the partition. The second distance value is used to represent the degree of deviation of the security environment parameter relative to the corresponding security threshold value. The security threshold value is used to define a preset security boundary for the key security indicators of the partition.

[0055] Calculate a second matching degree value between the safety device status parameters and the safety device baseline status parameters of the partition, wherein the safety device baseline status parameters are used to characterize the minimum equipment operation requirements to meet preset safety requirements; the second matching degree value is used to indicate the degree of matching between the safety device status parameters and the safety device baseline status parameters.

[0056] Based on all the second distance values ​​and all the second matching degree values ​​and their respective corresponding preset second priority values, the safety requirement satisfaction value of each of the mine's partitions is calculated; the preset second priority value is associated with the current work items of each partition.

[0057] As an optional implementation, in a second aspect of the invention, generating dynamic energy-saving control instructions for the coal mine hot air unit based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine, to regulate the multi-dimensional state parameters, includes:

[0058] Extract the usage requirement satisfaction value and safety requirement satisfaction value of each zone of the mine, as well as their respective preset first priority value and preset second priority value, from the priority requirement satisfaction condition;

[0059] Based on the extracted usage requirement satisfaction value, safety requirement satisfaction value, preset first priority value, preset second priority value, and newly acquired second multi-dimensional environmental parameters of the mine, the target state parameters to be regulated for each zone of the mine are determined respectively; the target state parameters are used to characterize the operating state of the corresponding hot air blower equipment of the zone required to achieve energy saving under the condition of satisfying the priority requirement satisfaction of the corresponding zone.

[0060] Based on the target state parameters determined by all the partitions and their corresponding preset first priority value and preset second priority value, a collaborative control strategy for the coal mine hot air unit is generated; the collaborative control strategy is used to coordinate the resource allocation and operating parameter settings of the hot air equipment in different partitions.

[0061] Based on the aforementioned coordinated control strategy, dynamic energy-saving control commands are generated for the coal mine hot air unit to regulate the multi-dimensional state parameters.

[0062] As an optional implementation, in a second aspect of the present invention, the step of determining the target state parameters to be regulated for each zone of the mine based on the extracted usage requirement satisfaction value, the safety requirement satisfaction value, the preset first priority value, the preset second priority value, and the newly acquired second multi-dimensional environmental parameters of the mine includes:

[0063] For each partition, a first dynamic adjustment coefficient for the partition's usage dimension is calculated based on the partition's usage demand satisfaction value and the preset first priority value. The first dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current usage demand satisfaction and its importance level.

[0064] Based on the security requirement satisfaction value and the preset second priority value of the partition, calculate the second dynamic adjustment coefficient of the security dimension of the partition. The second dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current security requirement satisfaction and its urgency level.

[0065] Based on the current environmental parameters in the newly acquired second multi-dimensional environmental parameters of the mine and the preset environmental parameter benchmark value for the partition, the environmental state offset of the partition is determined; the current environmental parameters are used to represent the latest environmental status of the corresponding partition; the environmental parameter benchmark value is used to characterize the reference environmental level of the partition under preset typical working conditions;

[0066] Based on the first dynamic adjustment coefficient, the second dynamic adjustment coefficient, the environmental state offset, and the rated operating parameters of the hot air blower equipment in the zone, the preliminary target state parameters to be regulated for the zone are calculated; the rated operating parameters are used to define the standard operating capacity range of the hot air blower equipment in the zone.

[0067] Based on the topological relationships and equipment operation coupling characteristics between the zones of the mine, the energy consumption coupling influence factor of the zone relative to other zones is determined; the energy consumption coupling influence factor is used to quantify the degree of indirect impact of the zone's state parameter adjustment on the overall system energy consumption;

[0068] Based on the preliminary target state parameters and the energy consumption coupling influence factor, the final target state parameters to be regulated for this partition are obtained by correction.

[0069] As an optional implementation, in a second aspect of the present invention, generating a coordinated control strategy for the coal mine hot air unit based on the target state parameters determined by all the partitions and their corresponding preset first priority values ​​and preset second priority values ​​includes:

[0070] Determine the total schedulable resources and operational constraints of the coal mine hot air unit; the operational constraints include the equipment safety threshold of the hot air unit and the preset minimum resource guarantee for each zone;

[0071] Identify the resource difference between the resource requirement corresponding to the target state parameter of each partition and the total schedulable resources;

[0072] The target state parameters of each partition are dynamically adjusted based on the preset first priority value, the preset second priority value, and the resource difference of each partition.

[0073] Based on the adjusted target state parameters, a coordinated control strategy for the coal mine hot air unit is generated.

[0074] A third aspect of this invention discloses another energy-saving control system based on a coal mine hot air unit, the system comprising:

[0075] Memory containing executable program code;

[0076] A processor coupled to the memory;

[0077] The processor calls the executable program code stored in the memory to execute the energy-saving control method based on coal mine hot air unit disclosed in the second aspect of the present invention.

[0078] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the energy-saving control method based on a coal mine hot air unit disclosed in the second aspect of the present invention.

[0079] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0080] In this embodiment of the invention, the acquisition module acquires the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional state parameters of the coal mine hot air blower unit; the judgment module determines whether the mine meets the preset priority demand satisfaction conditions based on the first multi-dimensional environmental parameters and the multi-dimensional state parameters. The priority demand satisfaction conditions include the usage demand satisfaction conditions and / or safety demand satisfaction conditions for each zone of the mine; when the judgment module determines that the mine meets the priority demand satisfaction conditions, the control module generates a dynamic energy-saving control command for the coal mine hot air blower unit based on the priority demand satisfaction conditions and the newly acquired second multi-dimensional environmental parameters of the mine, so as to regulate the multi-dimensional state parameters. It is evident that implementing this invention can improve the comprehensiveness and real-time performance of data acquisition by obtaining the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional state parameters of the coal mine hot air blower unit. This enhances the accuracy, comprehensiveness, and timeliness of the perception of the overall mine operation status, breaks through the limitations of traditional single-point control, and improves the reliability of the system's decision-making basis. By establishing a judgment mechanism for the mine's priority demand satisfaction conditions, from the three dimensions of perception of the mine's overall operation status, satisfaction conditions of usage demands, and satisfaction conditions of safety demands, it improves the accuracy and comprehensiveness of the analysis and judgment of triggering the system's energy-saving control and the accuracy of energy-saving control of the coal mine hot air blower unit, ensuring that safety and usage demands always take precedence over energy saving. The goal is to achieve a unified multi-dimensional analysis and control of coal mine hot air blower units, encompassing energy conservation, safety assurance, and demand supply. When the judgment result is positive, dynamic energy-saving control commands will be generated based on priority demand satisfaction conditions and newly acquired second-dimensional environmental parameters of the mine. This will improve the adaptability, flexibility, accuracy, and comprehensiveness of the control scenarios for coal mine hot air blower units, facilitating real-time matching with dynamic changes in the mine environment. This will help avoid ineffective or excessive energy supply, enabling refined and flexible on-demand allocation of energy consumption around the clock. Ultimately, this will improve coal mine production efficiency, ensure safe production, enhance energy consumption management capabilities, and ultimately realize smart and green mines. Attached Figure Description

[0081] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0082] Figure 1 This is a schematic diagram of the structure of an energy-saving control system based on a coal mine hot air unit disclosed in an embodiment of the present invention;

[0083] Figure 2 This is a schematic flowchart of an energy-saving control method based on a coal mine hot air unit disclosed in an embodiment of the present invention;

[0084] Figure 3 This is a schematic diagram of another energy-saving control system based on a coal mine hot air unit disclosed in an embodiment of the present invention. Detailed Implementation

[0085] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0086] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0087] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0088] This invention discloses an energy-saving control system and method based on coal mine hot air blower units. By acquiring multi-dimensional environmental parameters of the mine and corresponding multi-dimensional state parameters of the coal mine hot air blower units, it improves the comprehensiveness and real-time performance of data acquisition, enhances the accuracy, comprehensiveness, and timeliness of the perception of the overall mine operating status, breaks through the limitations of traditional single-point control, and improves the reliability of the system's decision-making basis. By establishing a judgment mechanism for the mine's priority demand satisfaction conditions, it improves the accuracy and comprehensiveness of the analysis and judgment of triggering the system's energy-saving control from three dimensions: perception of the mine's overall operating status, satisfaction of usage demands, and satisfaction of safety demands. This enhances the accuracy of energy-saving control of the coal mine hot air blower units, ensuring safety and usability. Demand always takes precedence over energy conservation goals. This involves the organic integration of multi-dimensional analysis and control of coal mine hot air handling units, encompassing energy conservation, safety assurance, and demand supply. When the judgment result is positive, dynamic energy-saving control commands are generated based on priority demand satisfaction conditions and newly acquired second-dimensional environmental parameters of the mine. This improves the adaptability, flexibility, accuracy, and comprehensiveness of the control scenarios for coal mine hot air handling units. This facilitates real-time matching with dynamic changes in the mine environment, thereby preventing ineffective or excessive energy supply. It enables refined, flexible, and on-demand energy allocation around the clock, improving coal mine production efficiency, ensuring safe production, enhancing energy consumption management capabilities, and ultimately achieving smart and green mines. These points will be explained in detail below.

[0089] Example 1

[0090] Please see Figure 1 , Figure 1 This is a schematic diagram of the structure of an energy-saving control system based on a coal mine hot air unit, as disclosed in an embodiment of the present invention. Figure 1 The described energy-saving control system based on coal mine hot air units can be applied to coal mine hot air units, and also to intelligent devices associated with coal mine hot air units. These intelligent devices include, but are not limited to, one or more of the following: switching equipment, cloud equipment, edge computing equipment, relay equipment, base station equipment, urban management equipment, and intelligent connected equipment. This invention does not limit the scope of the application. Figure 1 As shown, the energy-saving control system based on the coal mine hot air unit may include:

[0091] The acquisition module 101 is used to acquire the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional status parameters of the coal mine hot air unit;

[0092] In this embodiment of the invention, optionally, the first multi-dimensional environmental parameter is mainly used for initial assessment of whether the mine meets the priority demand satisfaction conditions (including the usage demand satisfaction conditions and / or safety demand satisfaction conditions for each zone of the mine), and the first multi-dimensional environmental parameter may include, but is not limited to:

[0093] (1) Partition environment parameters, which may include basic environment parameters:

[0094] Climate parameters: temperature (coal mining face), humidity (return airway), wind speed (ventilation opening at the tunneling face), atmospheric pressure (closed goaf), etc.

[0095] Air quality parameters: oxygen concentration (densely populated areas), CO2 concentration (areas with machinery and equipment), hydrogen sulfide concentration (areas with sulfur-containing coal seams), etc.

[0096] Visibility parameters: smoke concentration (transportation tunnel), dust concentration (crushing operation point), etc.

[0097] Furthermore, it can also include dynamic parameters of the operating conditions:

[0098] Personnel activity parameters: worker density (mining face), location trajectory heat map (intersecting roadways), etc.;

[0099] Equipment interaction parameters: mechanical thermal radiation (emulsion pump station), vibration spectrum (ventilator foundation), noise decibel value (local ventilation fan), etc.;

[0100] Spatial layout parameters: wind speed distribution across roadway cross section (variable diameter roadway), ventilation network resistance coefficient (multi-branch node), etc.

[0101] (2) Safety environmental parameters:

[0102] Disaster early warning parameters: gas concentration (mining face), coal dust explosion index (belt conveyor roadway), signs of water inrush (hydrogeologically complex areas), etc.

[0103] Structural safety parameters: roof pressure (weak support section), surrounding rock deformation (geological structural zone), surface settlement (shallow mining area), etc.

[0104] Data can be acquired in real time through a distributed sensor network (e.g., temperature / humidity sensors upload data every 10 seconds, gas sensors refresh every 5 seconds, radar, cameras, infrared, etc.).

[0105] In this embodiment of the invention, the multi-dimensional state parameters described above may further include, but are not limited to:

[0106] (1) Core parameters of hot air handling unit:

[0107] Fan: Rotation speed (main fan), blade angle (axial flow type), bearing temperature (drive end);

[0108] Heater: power (electric heating tube), medium flow rate (heat medium circulation pump), heat exchange efficiency (finned tube assembly);

[0109] (2) System coordination parameters:

[0110] Piping network: air pressure (supply air main), air leakage rate (flexible air duct), valve opening (electric regulating valve);

[0111] Energy: Instantaneous power (frequency converter), harmonic distortion rate (rectifier unit), power factor (compensation capacitor bank);

[0112] (3) Equipment health parameters: motor vibration amplitude (such as accelerometer data), bearing temperature (such as thermocouple monitoring value), service life, affiliated unit, etc.

[0113] The data can be obtained by reading real-time data through the Modbus communication protocol of the hot air unit PLC.

[0114] The judgment module 102 is used to determine whether the mine meets the preset priority demand satisfaction conditions based on the first multi-dimensional environmental parameters and multi-dimensional state parameters. The priority demand satisfaction conditions include the usage demand satisfaction conditions and / or safety demand satisfaction conditions for each zone of the mine.

[0115] In this embodiment of the invention, as an optional implementation, the aforementioned coal mine hot air unit includes hot air equipment corresponding to each zone. The specific method by which the judgment module 102 determines whether the mine meets the preset priority demand satisfaction conditions based on the first multi-dimensional environmental parameters and multi-dimensional state parameters includes:

[0116] Based on the partition environment parameters in the first multi-dimensional environmental parameters and the partition equipment status parameters in the multi-dimensional status parameters, the usage demand satisfaction value of each partition of the mine is calculated respectively; the partition environment parameters are used to represent the environmental conditions of the partition; the partition equipment status parameters are used to represent the operating status of the hot air blower equipment serving the partition;

[0117] Based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters, the safety requirement satisfaction value of each zone of the mine is calculated respectively; the safety environment parameters are used to represent the preset key environmental indicators that affect the operational safety level of the mine; the safety equipment status parameters are used to represent the operational status indicators of safety-related hot air blower equipment.

[0118] Based on the calculated usage requirement satisfaction value and security requirement satisfaction value of each partition, determine whether they are greater than or equal to their respective preset satisfaction thresholds.

[0119] When it is determined that the usage requirement satisfaction value and safety requirement satisfaction value of a preset number of partitions are greater than or equal to their respective preset satisfaction thresholds, the mine is determined to meet the preset priority requirement satisfaction condition.

[0120] In this embodiment of the invention, for the calculation of the degree of satisfaction of the usage requirements, the following can be selected as inputs: zone environmental parameters: such as working surface A temperature 23℃, humidity 60%; equipment status parameters: current air volume of fan in zone A 800m³ / h (target requires 1000m³ / h).

[0121] Calculation steps:

[0122] Environmental deviation: Calculates the deviation (e.g., +1℃) of the temperature from the preset target range (18-22℃).

[0123] Equipment compatibility: such as calculating the ratio of actual air volume to target air volume (800 / 1000=0.8).

[0124] Weighted synthesis: Combines environmental deviations and equipment matching degree according to weight (e.g., 7:3) into a satisfaction value.

[0125] Further optional, for the calculation of the safety requirement satisfaction value, the input can be: safety environment parameters: such as the gas concentration in roadway B is 0.6% (critical value 0.8%); safety equipment status: whether the standby fan is in normal standby status (yes=1, no=0).

[0126] Calculation steps:

[0127] Safety deviation: Calculate the ratio of the difference between the gas concentration and the critical value (e.g., (0.8-0.6) / 0.8=0.25).

[0128] Equipment compatibility: Check the availability of the backup fan (if normal, compatibility = 1).

[0129] Weighted aggregation: Combined into a satisfaction value according to safety weight.

[0130] Further optionally, for the global judgment logic, when the usage / security satisfaction value of ≥80% of the partition is ≥0.7 (preset threshold), energy-saving control is triggered.

[0131] Further optionally, the priority requirement satisfaction conditions include the usage requirement satisfaction conditions and / or safety requirement satisfaction conditions for each zone of the mine; in actual application, when it is necessary to choose one to use, the unused conditions can be 0 or empty when calculating the corresponding specific satisfaction value.

[0132] As can be seen, implementing this optional embodiment can improve the refinement of demand assessment and the targeting of zoned governance by independently calculating the demand satisfaction value and safety demand satisfaction value for each zone. This is conducive to accurately identifying the individual shortcomings of different zones, and in turn, to building a multi-dimensional dynamic profile of the overall mine operation status, thus upgrading from extensive management to precise zoned governance. By using a preset quantity threshold triggering mechanism, the interference intensity of local anomalies on energy-saving decisions is reduced, which helps to ensure the stability of the system under some fluctuating operating conditions. This, in turn, helps to maximize the capture of global energy-saving opportunities and achieve synergistic enhancement of resource utilization efficiency and system robustness.

[0133] In this optional embodiment, as an optional implementation method, the specific method by which the judgment module 102 calculates the usage demand satisfaction value of each zone of the mine based on the zoned environmental parameters in the first multi-dimensional environmental parameters and the zoned equipment status parameters in the multi-dimensional status parameters includes:

[0134] For each partition, calculate a first distance value between the partition environment parameters of that partition and the preset target range of the partition environment requirements for that partition. The first distance value is used to represent the degree of deviation between the partition environment parameters and the corresponding preset target range of the partition environment requirements.

[0135] Calculate the first matching degree value between the partition device state parameters of the partition and the theoretical device state parameters required to achieve the partition environment requirement target range of the partition. The first matching degree value is used to represent the degree of matching between the partition device state parameters and the corresponding theoretical device state parameters.

[0136] Based on all first distance values ​​and all first matching degree values ​​and their corresponding preset first priority values, calculate the usage requirement satisfaction value for each partition of the mine. The preset first priority value is associated with the attribute parameters of each partition.

[0137] In this embodiment of the invention, optionally, the calculation of the first distance value is as follows:

[0138] Target range deviation:

[0139] Example: The target temperature for zone C is 20±2℃, the actual temperature is 25℃, the deviation is 25-22=3℃ (exceeding the upper limit).

[0140] Normalization: The percentage of the deviation value relative to the target range width (e.g., if the target range is 4℃, then the deviation rate = 3 / 4 = 75%).

[0141] Further, optionally, the first matching degree value is calculated as follows:

[0142] Theoretical equipment status: Calculate the required fan power based on the thermodynamic model (e.g., 50kW fan power is required for the target temperature).

[0143] Actual matching degree: Actual power 45kW, matching degree = 45 / 50 = 0.9.

[0144] Further optional, for priority weighting:

[0145] Weighting: Set according to the importance of the zone (e.g., coal face weight 0.9, transport roadway weight 0.5).

[0146] Final satisfaction: Satisfaction = (1 - distance value) × distance weight + matching degree × matching weight (e.g., distance weight 0.6, matching weight 0.4, satisfaction = (1 - 0.75) × 0.6 + 0.9 × 0.4 = 0.57).

[0147] In this embodiment of the invention, optionally, the attribute parameters of the partition refer to the inherent, essential attributes of the partition that do not change with short-term operating conditions, used to define the basic characteristics and long-term requirements of the partition, including but not limited to:

[0148] Functional types: coal mining face, transport roadway, electromechanical chamber, refuge chamber, etc.

[0149] Function: To determine the environmental requirements of the zone (e.g., the coal face needs to be kept at a low temperature, and the electromechanical chamber needs to be moisture-proof).

[0150] Location topology: The spatial location of a zone within the mine (such as its depth from the main shaft opening and the connection relationship between adjacent zones).

[0151] Function: To influence the energy consumption coupling calculation of the hot air delivery path (e.g., higher air pressure is required for remote zones).

[0152] Safety risk level: gas emission level (high / medium / low), coal seam spontaneous combustion tendency level.

[0153] Function: Determines the stringency of safety thresholds (e.g., lower safety thresholds in high-gas areas).

[0154] Equipment configuration specifications: rated power, maximum air volume, and supported control modes (variable frequency / fixed frequency) of the hot air blower.

[0155] Function: To limit the range of adjustment of state parameters (e.g., small fans cannot be overclocked).

[0156] Example: A certain partition attribute: {Function type: "Coal mining face", Depth: "500m from the wellhead", Gas level: "Class III", Fan model: "FBD-6.3"}.

[0157] It is evident that implementing this optional embodiment can quantify the degree of environmental parameter deviation through the first distance value, improve the accuracy of the numerical representation of environmental demand deviation, thereby facilitating the dynamic positioning of high-deviation zones that require priority control, and further helping to eliminate response delays caused by experience-based decision-making, thus achieving an objective assessment of the mine's environmental demand satisfaction. By associating equipment status with theoretical requirements through the first matching degree value, the risk of disconnect between equipment operating capacity and target requirements is reduced, thereby helping to identify hidden bottlenecks of equipment resource redundancy or insufficiency, and further helping to optimize the load balancing strategy of equipment clusters, achieving a precise improvement in the operating efficiency of hot air units. By dynamically weighting the calculation through a preset first priority value, the decision weight of core zones is increased, thereby facilitating the implementation of differentiated guarantee strategies under resource constraints, and further helping to focus on the environmental stability of key areas, achieving strategic support for mine production efficiency.

[0158] In this optional embodiment, as another optional implementation, the specific method by which the judgment module 102 calculates the safety requirement satisfaction value of each zone of the mine based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters includes:

[0159] For each partition, a second distance value is calculated between the security environment parameters of that partition and the preset security threshold value of that partition. The second distance value is used to represent the degree of deviation of the security environment parameters from the corresponding security threshold value. The security threshold value is used to define the preset security boundary of the key security indicators of that partition.

[0160] Calculate the second matching degree value between the safety equipment status parameters and the safety equipment baseline status parameters of the partition. The safety equipment baseline status parameters are used to characterize the minimum equipment operation requirements to meet the preset safety requirements. The second matching degree value is used to indicate the degree of matching between the safety equipment status parameters and the safety equipment baseline status parameters.

[0161] Based on all second distance values ​​and all second matching degree values ​​and their corresponding preset second priority values, calculate the safety requirement satisfaction value for each zone of the mine; the preset second priority value is associated with the current work items of each zone.

[0162] In this embodiment of the invention, optionally, the calculation of the second distance value is as follows:

[0163] Safety boundary deviation:

[0164] Example: The critical gas value for zone D is 0.8%, the actual value is 0.9%, and the deviation is (0.9-0.8) / 0.8=12.5%.

[0165] Negative value handling: If the actual measured value is 0.7%, the deviation value is negative (safety redundancy).

[0166] Further, optionally, the second matching degree value is calculated as follows:

[0167] Baseline status parameters: Minimum requirements for safety equipment (e.g., two redundant wind turbines must be online).

[0168] Matching score: 1 device is actually online, matching score = 0.5.

[0169] Further optional, regarding job association priority:

[0170] Dynamic weight: If a blasting operation is underway in a zone, the safety weight is increased from 0.6 to 0.9.

[0171] Satisfaction calculation: Satisfaction = (1 - Deviation value) × Deviation weight + Matching degree × Matching weight (Example: Deviation weight 0.7, Satisfaction = (1 - 0.125) × 0.7 + 0.5 × 0.3 = 0.76).

[0172] Optionally, work items refer to temporary production or safety activities currently underway in a zone, used to dynamically adjust the priority of safety requirements, including but not limited to:

[0173] Production activities include blasting operations, coal transportation, equipment installation, and tunnel excavation.

[0174] Purpose: The dust concentration threshold needs to be more stringent during tunneling operations.

[0175] Safety incident status: Gas over-limit warning, fire risk monitoring, equipment malfunction alarm.

[0176] Function: When a gas warning is issued, the safety priority is automatically raised to the highest level.

[0177] Maintenance tasks: Equipment overhaul and ventilation system calibration.

[0178] Purpose: To allow for temporary relaxation of environmental parameter requirements during maintenance.

[0179] Example: Current task: {Activity type: "Blasting operation", Safety event: "None", Maintenance status: "Wind turbine A under maintenance"}.

[0180] It is evident that implementing this optional embodiment can quantify the critical state of safety margin through the second distance value, improving the sensitivity and operability of safety risk early warning. This facilitates proactive defense and control at the safety boundary, thereby helping to break the chain of accident escalation and achieving proactive intervention capabilities in safety management. By verifying the readiness of safety equipment through the second matching degree value, the potential for emergency response failure is reduced, which helps to ensure the real-time availability of the safety protection system and improve the overall fault tolerance of the system, achieving dynamic reinforcement of safety redundancy. By dynamically adjusting the second priority value associated with operations, the intensity of safety resource allocation in high-risk scenarios is increased, which helps to match the intensity of mine operations with the real-time safety requirements of mine operations, thereby avoiding resource mismatch caused by fixed strategies and achieving scenario-adaptive optimization of safety protection.

[0181] The control module 103 is used to generate dynamic energy-saving control instructions for the coal mine hot air unit based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine when the judgment module 102 determines that the mine meets the priority demand satisfaction condition, so as to regulate the multi-dimensional state parameters.

[0182] In this embodiment of the invention, optionally, the second multi-dimensional environmental parameter is used to generate a dynamic energy-saving control command in combination with the priority demand satisfaction condition. The second multi-dimensional environmental parameter can correspond to the first multi-dimensional environmental parameter.

[0183] Further optional, in terms of time sequence, the first multi-dimensional environmental parameter can be the "snapshot" data initially acquired by the system for quick decision-making; the second multi-dimensional environmental parameter can be the updated data acquired later, or even more detailed real-time data, to reflect the dynamic changes in the current mine environment, or even predict the dynamic changes in the mine environment within a preset time period, for fine control.

[0184] In this embodiment of the invention, optionally, the above-mentioned dynamic energy-saving command generation is as follows:

[0185] Input: Target value in the priority conditions (such as temperature range), real-time environmental data (such as current working surface temperature 25℃).

[0186] Output: The PID algorithm calculates that the fan speed needs to be reduced by 10%, and the air valves in non-core areas need to be closed to reduce total power consumption while maintaining environmental compliance in critical areas.

[0187] It is evident that implementing the embodiments of the present invention can improve the comprehensiveness and real-time performance of data acquisition by obtaining the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional state parameters of the coal mine hot air blower unit. This enhances the accuracy, comprehensiveness, and timeliness of the perception of the overall mine operation status, breaks through the limitations of traditional single-point control, and improves the reliability of the system's decision-making basis. By establishing a judgment mechanism for the mine's priority demand satisfaction conditions, from the three dimensions of perception of the mine's overall operation status, satisfaction conditions of usage demands, and satisfaction conditions of safety demands, it improves the accuracy and comprehensiveness of the analysis and judgment of triggering the system's energy-saving control and the accuracy of energy-saving control of the coal mine hot air blower unit, ensuring that safety and usage demands always take precedence over energy saving. The goal is to achieve a unified multi-dimensional analysis and control of coal mine hot air blower units, encompassing energy conservation, safety assurance, and demand supply. When the judgment result is positive, dynamic energy-saving control commands are generated based on priority demand satisfaction conditions and newly acquired second-dimensional environmental parameters of the mine. This improves the adaptability, flexibility, accuracy, and comprehensiveness of the control scenarios for coal mine hot air blower units, facilitating real-time matching with dynamic changes in the mine environment. This helps avoid ineffective or excessive energy supply, enabling refined and flexible on-demand allocation of energy consumption around the clock. Ultimately, this improves coal mine production efficiency, ensures safe production, enhances energy consumption management capabilities, and contributes to the realization of smart and green mines.

[0188] In this embodiment of the invention, as another optional implementation, the control module 103 generates dynamic energy-saving control instructions for the coal mine hot air unit based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine. The specific methods for regulating the multi-dimensional state parameters include:

[0189] Extract the usage requirement satisfaction value and safety requirement satisfaction value of each zone of the mine from the priority requirement satisfaction condition, as well as their corresponding preset first priority value and preset second priority value;

[0190] Based on the extracted usage demand satisfaction value, safety demand satisfaction value, preset first priority value, preset second priority value, and newly acquired second multi-dimensional environmental parameters of the mine, the target state parameters to be regulated for each zone of the mine are determined respectively; the target state parameters are used to characterize the operating state of the corresponding hot air blower equipment in the zone that is required to achieve energy saving under the condition of satisfying the priority demand satisfaction of the corresponding zone.

[0191] Based on the target state parameters determined by all zones and their corresponding preset first priority value and preset second priority value, a collaborative control strategy for coal mine hot air blower units is generated; the collaborative control strategy is used to coordinate the resource allocation and operating parameter settings of hot air blower equipment in different zones.

[0192] Based on the coordinated control strategy, dynamic energy-saving control commands for coal mine hot air units are generated to regulate multi-dimensional state parameters.

[0193] In this embodiment of the invention, optionally, the target state parameters are determined as follows:

[0194] Input Extraction:

[0195] Zoning priority: Coal face usage weight 0.8, safety weight 0.9; Roadway usage weight 0.4.

[0196] Real-time environment: For example, the temperature in partition E rises to 26°C (exceeding the target of 22°C).

[0197] Calculation objective:

[0198] Allocate resources according to priority: increase the power of coal face ventilation fans to 110%, and reduce the power of roadways to 70%.

[0199] Target parameter: Increase the speed of fan A from 1000 rpm to 1200 rpm.

[0200] Further, alternatively, for coordinated regulation strategies:

[0201] Resource coordination:

[0202] Conflict identified: Total power capacity 1000kW, current demand 1200kW.

[0203] Dynamic adjustment: Reduce the quota of low-weight zones according to priority (e.g., close the air valves in non-operational areas).

[0204] Instruction generation:

[0205] Output JSON command package: {Fan A: Speed ​​+20%, Valve B: Close}.

[0206] It is evident that implementing this optional embodiment can improve the customization level and scenario fit of energy-saving strategies by independently calculating target state parameters for each partition. This facilitates accurate matching of the actual operating conditions of each partition, thereby eliminating local energy waste caused by "one-size-fits-all" control and enabling in-depth exploration of energy-saving potential. Through multi-partition collaborative control strategies, resource contention between devices is reduced, which helps promote cross-partition energy consumption complementarity and linkage optimization. This, in turn, helps to leverage the system's cascade energy-saving effect and achieve a systematic reduction in overall energy consumption and global optimization of resource utilization.

[0207] In this optional embodiment, as an optional implementation method, the control module 103 determines the specific method by which it determines the target state parameters to be regulated for each zone of the mine based on the extracted usage requirement satisfaction value, safety requirement satisfaction value, preset first priority value, preset second priority value, and newly acquired second multi-dimensional environmental parameters of the mine.

[0208] For each partition, based on the partition's usage demand satisfaction value and the preset first priority value, the first dynamic adjustment coefficient of the partition's usage dimension is calculated. The first dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current usage demand satisfaction and its importance level.

[0209] Based on the security requirement satisfaction value and the preset second priority value of the partition, the second dynamic adjustment coefficient of the security dimension of the partition is calculated. The second dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current security requirement satisfaction and its urgency level.

[0210] Based on the current environmental parameters in the newly acquired second multi-dimensional environmental parameters of the mine and the preset environmental parameter benchmark values ​​for the partition, the environmental state offset of the partition is determined; the current environmental parameters are used to represent the latest environmental status of the corresponding partition; the environmental parameter benchmark values ​​are used to characterize the reference environmental level of the partition under preset typical working conditions;

[0211] Based on the first dynamic adjustment coefficient, the second dynamic adjustment coefficient, the environmental state offset, and the rated operating parameters of the hot air blower equipment in the zone, the preliminary target state parameters that need to be regulated in the zone are calculated; the rated operating parameters are used to define the standard operating capacity range of the hot air blower equipment in the zone.

[0212] Based on the topological relationships between the zones of the mine and the coupling characteristics of equipment operation, the energy consumption coupling influence factor of the zone relative to other zones is determined; the energy consumption coupling influence factor is used to quantify the degree of indirect impact of the zone's state parameter adjustment on the overall system energy consumption.

[0213] Based on the initial target state parameters and energy consumption coupling influence factors, the final target state parameters required for regulation in this partition are obtained by correction.

[0214] In this embodiment of the invention, optionally, the current environmental parameters in the newly acquired second multi-dimensional environmental parameters of the mine correspond to the aforementioned partitioned environmental parameters.

[0215] Further optional, for the calculation of dynamic adjustment coefficients:

[0216] Using dimensionality coefficients:

[0217] If a satisfaction level of 0.6 is used (below the threshold of 0.7), and a weight of 0.8 is applied, the adjustment coefficient = (1-0.6)×0.8=0.32 (requiring stronger regulation).

[0218] Security Dimension Coefficient:

[0219] If the safety satisfaction level is 0.9 (meets the standard), the weight is 0.9, and the adjustment coefficient is (1-0.9)×0.9=0.09 (weak regulation).

[0220] Further optional, for environmental offset correction:

[0221] Parameter association:

[0222] Example: Humidity in zone F is increased to 80% (baseline value 60%), offset = +20%.

[0223] Revised target: Dehumidification power needs to be increased, and the target value for fan power is increased by 15%.

[0224] Further optional, for coupling influence factors:

[0225] Topological association:

[0226] If the fan speed in zone G decreases, resulting in insufficient air pressure in the adjacent zone H, the coupling factor is 0.3 (moderate impact).

[0227] Final goal revised:

[0228] Initial target: speed reduction of 10%, but due to coupling effects, the actual speed reduction was corrected to 7%.

[0229] It is evident that implementing this optional embodiment can improve the intelligent adaptability of the control intensity by dynamically adjusting the coefficients associated with the urgency level of the demand, thereby facilitating rapid resource allocation response to urgent needs and avoiding inefficient averaging, thus achieving hierarchical agility in resource scheduling. By quantifying the regional correlation characteristics through energy consumption coupling influencing factors, the risk of systemic fluctuations caused by local adjustments is reduced, which helps to predict and offset cross-regional energy consumption chain reactions, thereby maintaining the overall operational stability of the hot air unit and achieving global collaborative optimization of energy-saving control and proactive offsetting of energy consumption fluctuations.

[0230] In this optional embodiment, as another optional implementation, the control module 103 generates a coordinated control strategy for the coal mine hot air unit based on the target state parameters determined by all partitions and their corresponding preset first priority values ​​and preset second priority values ​​in the following specific ways:

[0231] Determine the total dispatchable resources and operational constraints of the coal mine hot air unit; the operational constraints include the equipment safety threshold of the hot air unit and the preset minimum resource guarantee for each zone;

[0232] Identify the resource difference between the resource requirement corresponding to the target state parameters of each partition and the total schedulable resources;

[0233] Based on the preset first priority value, preset second priority value and resource difference of each partition, the target status parameters of each partition are dynamically adjusted.

[0234] Based on the adjusted target state parameters, a coordinated control strategy for coal mine hot air units is generated.

[0235] Optionally, resource constraint processing is performed in this embodiment of the invention as follows:

[0236] Dispatchable resources: Total power supply 800kW, equipment safety limit: Single fan power ≤200kW.

[0237] Minimum guarantee: At least 50kW must be allocated to each partition.

[0238] Further optional adjustments to resource discrepancies:

[0239] Demand identification:

[0240] Zone A has a demand of 180kW (priority 0.9), Zone B has a demand of 150kW (priority 0.5), and the total demand is 330kW, which is greater than the available capacity of 300kW.

[0241] Dynamic reallocation:

[0242] Area A will be fully satisfied according to priority (180kW), and the allocation for Area B will be 150×(300-180) / 150=120kW.

[0243] Further optional, for policy generation:

[0244] Output instructions:

[0245] Power curtailment mode: B zone fan power reduced to 80%, C zone non-core air valves closed to release 50kW.

[0246] It is evident that implementing this optional embodiment can improve the flexible decision-making capability in resource-constrained scenarios by dynamically adjusting the target parameters driven by resource differences. This is conducive to ensuring the basic supply of key zones according to priority, thereby avoiding operational crashes caused by system overload and achieving optimal trade-off control under limited resources. Through the priority-oriented resource reallocation mechanism, the proportion of ineffective energy consumption in low-value areas is reduced, which is conducive to focusing the energy supply intensity of high-priority zones, thereby maximizing the production efficiency output per unit of energy consumption, and realizing the strategic value focus of energy allocation and precise empowerment of energy efficiency transformation.

[0247] Example 2

[0248] Please see Figure 2 , Figure 2 This is a schematic flowchart of another energy-saving control method based on a coal mine hot air unit disclosed in an embodiment of the present invention. Figure 2 The described energy-saving control method based on coal mine hot air units can be applied to coal mine hot air units, and also to intelligent devices associated with coal mine hot air units. These intelligent devices include, but are not limited to, one or more of the following: switching equipment, cloud equipment, edge computing equipment, relay equipment, base station equipment, urban management equipment, and intelligent connected equipment. This invention does not limit the scope of these applications. Figure 2 As shown, the energy-saving control method based on coal mine hot air units may include the following operations:

[0249] 201. Obtain the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional state parameters of the coal mine hot air unit;

[0250] 202. Based on the first multi-dimensional environmental parameters and multi-dimensional state parameters, determine whether the mine meets the preset priority demand satisfaction conditions. The priority demand satisfaction conditions include the usage demand satisfaction conditions and / or safety demand satisfaction conditions for each zone of the mine.

[0251] 203. When it is determined that the mine meets the priority demand satisfaction condition, dynamic energy-saving control instructions for the coal mine hot air unit are generated based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine, so as to regulate the multi-dimensional state parameters.

[0252] It is evident that implementing the embodiments of the present invention can improve the comprehensiveness and real-time performance of data acquisition by obtaining the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional state parameters of the coal mine hot air blower unit. This enhances the accuracy, comprehensiveness, and timeliness of the perception of the overall mine operation status, breaks through the limitations of traditional single-point control, and improves the reliability of the system's decision-making basis. By establishing a judgment mechanism for the mine's priority demand satisfaction conditions, from the three dimensions of perception of the mine's overall operation status, satisfaction conditions of usage demands, and satisfaction conditions of safety demands, it improves the accuracy and comprehensiveness of the analysis and judgment of triggering the system's energy-saving control and the accuracy of energy-saving control of the coal mine hot air blower unit, ensuring that safety and usage demands always take precedence over energy saving. The goal is to achieve a unified multi-dimensional analysis and control of coal mine hot air blower units, encompassing energy conservation, safety assurance, and demand supply. When the judgment result is positive, dynamic energy-saving control commands are generated based on priority demand satisfaction conditions and newly acquired second-dimensional environmental parameters of the mine. This improves the adaptability, flexibility, accuracy, and comprehensiveness of the control scenarios for coal mine hot air blower units, facilitating real-time matching with dynamic changes in the mine environment. This helps avoid ineffective or excessive energy supply, enabling refined and flexible on-demand allocation of energy consumption around the clock. Ultimately, this improves coal mine production efficiency, ensures safe production, enhances energy consumption management capabilities, and contributes to the realization of smart and green mines.

[0253] In this embodiment of the invention, as an optional implementation, the aforementioned coal mine hot air unit includes hot air blower equipment corresponding to each zone. Based on first multi-dimensional environmental parameters and multi-dimensional state parameters, it determines whether the mine meets preset priority demand satisfaction conditions, including:

[0254] Based on the partition environment parameters in the first multi-dimensional environmental parameters and the partition equipment status parameters in the multi-dimensional status parameters, the usage demand satisfaction value of each partition of the mine is calculated respectively; the partition environment parameters are used to represent the environmental conditions of the partition; the partition equipment status parameters are used to represent the operating status of the hot air blower equipment serving the partition;

[0255] Based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters, the safety requirement satisfaction value of each zone of the mine is calculated respectively; the safety environment parameters are used to represent the preset key environmental indicators that affect the operational safety level of the mine; the safety equipment status parameters are used to represent the operational status indicators of safety-related hot air blower equipment.

[0256] Based on the calculated usage requirement satisfaction value and security requirement satisfaction value of each partition, determine whether they are greater than or equal to their respective preset satisfaction thresholds.

[0257] When it is determined that the usage requirement satisfaction value and safety requirement satisfaction value of a preset number of partitions are greater than or equal to their respective preset satisfaction thresholds, the mine is determined to meet the preset priority requirement satisfaction condition.

[0258] As can be seen, implementing this optional embodiment can improve the refinement of demand assessment and the targeting of zoned governance by independently calculating the demand satisfaction value and safety demand satisfaction value for each zone. This is conducive to accurately identifying the individual shortcomings of different zones, and in turn, to building a multi-dimensional dynamic profile of the overall mine operation status, thus upgrading from extensive management to precise zoned governance. By using a preset quantity threshold triggering mechanism, the interference intensity of local anomalies on energy-saving decisions is reduced, which helps to ensure the stability of the system under some fluctuating operating conditions. This, in turn, helps to maximize the capture of global energy-saving opportunities and achieve synergistic enhancement of resource utilization efficiency and system robustness.

[0259] In this optional embodiment, as an optional implementation method, the above-mentioned calculation of the usage demand satisfaction value of each zone of the mine based on the zoned environmental parameters in the first multi-dimensional environmental parameters and the zoned equipment state parameters in the multi-dimensional state parameters includes:

[0260] For each partition, calculate a first distance value between the partition environment parameters of that partition and the preset target range of the partition environment requirements for that partition. The first distance value is used to represent the degree of deviation between the partition environment parameters and the corresponding preset target range of the partition environment requirements.

[0261] Calculate the first matching degree value between the partition device state parameters of the partition and the theoretical device state parameters required to achieve the partition environment requirement target range of the partition. The first matching degree value is used to represent the degree of matching between the partition device state parameters and the corresponding theoretical device state parameters.

[0262] Based on all first distance values ​​and all first matching degree values ​​and their corresponding preset first priority values, calculate the usage requirement satisfaction value for each partition of the mine. The preset first priority value is associated with the attribute parameters of each partition.

[0263] It is evident that implementing this optional embodiment can quantify the degree of environmental parameter deviation through the first distance value, improve the accuracy of the numerical representation of environmental demand deviation, thereby facilitating the dynamic positioning of high-deviation zones that require priority control, and further helping to eliminate response delays caused by experience-based decision-making, thus achieving an objective assessment of the mine's environmental demand satisfaction. By associating equipment status with theoretical requirements through the first matching degree value, the risk of disconnect between equipment operating capacity and target requirements is reduced, thereby helping to identify hidden bottlenecks of equipment resource redundancy or insufficiency, and further helping to optimize the load balancing strategy of equipment clusters, achieving a precise improvement in the operating efficiency of hot air units. By dynamically weighting the calculation through a preset first priority value, the decision weight of core zones is increased, thereby facilitating the implementation of differentiated guarantee strategies under resource constraints, and further helping to focus on the environmental stability of key areas, achieving strategic support for mine production efficiency.

[0264] In this optional embodiment, as another optional implementation, the above-mentioned calculation of the safety requirement satisfaction value of each zone of the mine based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters includes:

[0265] For each partition, a second distance value is calculated between the security environment parameters of that partition and the preset security threshold value of that partition. The second distance value is used to represent the degree of deviation of the security environment parameters from the corresponding security threshold value. The security threshold value is used to define the preset security boundary of the key security indicators of that partition.

[0266] Calculate the second matching degree value between the safety equipment status parameters and the safety equipment baseline status parameters of the partition. The safety equipment baseline status parameters are used to characterize the minimum equipment operation requirements to meet the preset safety requirements. The second matching degree value is used to indicate the degree of matching between the safety equipment status parameters and the safety equipment baseline status parameters.

[0267] Based on all second distance values ​​and all second matching degree values ​​and their corresponding preset second priority values, calculate the safety requirement satisfaction value for each zone of the mine; the preset second priority value is associated with the current work items of each zone.

[0268] It is evident that implementing this optional embodiment can quantify the critical state of safety margin through the second distance value, improving the sensitivity and operability of safety risk early warning. This facilitates proactive defense and control at the safety boundary, thereby helping to break the chain of accident escalation and achieving proactive intervention capabilities in safety management. By verifying the readiness of safety equipment through the second matching degree value, the potential for emergency response failure is reduced, which helps to ensure the real-time availability of the safety protection system and improve the overall fault tolerance of the system, achieving dynamic reinforcement of safety redundancy. By dynamically adjusting the second priority value associated with operations, the intensity of safety resource allocation in high-risk scenarios is increased, which helps to match the intensity of mine operations with the real-time safety requirements of mine operations, thereby avoiding resource mismatch caused by fixed strategies and achieving scenario-adaptive optimization of safety protection.

[0269] In this embodiment of the invention, as another optional implementation, the above-mentioned generation of dynamic energy-saving control instructions for the coal mine hot air unit based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine, to regulate the multi-dimensional state parameters, includes:

[0270] Extract the usage requirement satisfaction value and safety requirement satisfaction value of each zone of the mine from the priority requirement satisfaction condition, as well as their corresponding preset first priority value and preset second priority value;

[0271] Based on the extracted usage demand satisfaction value, safety demand satisfaction value, preset first priority value, preset second priority value, and newly acquired second multi-dimensional environmental parameters of the mine, the target state parameters to be regulated for each zone of the mine are determined respectively; the target state parameters are used to characterize the operating state of the corresponding hot air blower equipment in the zone that is required to achieve energy saving under the condition of satisfying the priority demand satisfaction of the corresponding zone.

[0272] Based on the target state parameters determined by all zones and their corresponding preset first priority value and preset second priority value, a collaborative control strategy for coal mine hot air blower units is generated; the collaborative control strategy is used to coordinate the resource allocation and operating parameter settings of hot air blower equipment in different zones.

[0273] Based on the coordinated control strategy, dynamic energy-saving control commands for coal mine hot air units are generated to regulate multi-dimensional state parameters.

[0274] It is evident that implementing this optional embodiment can improve the customization level and scenario fit of energy-saving strategies by independently calculating target state parameters for each partition. This facilitates accurate matching of the actual operating conditions of each partition, thereby eliminating local energy waste caused by "one-size-fits-all" control and enabling in-depth exploration of energy-saving potential. Through multi-partition collaborative control strategies, resource contention between devices is reduced, which helps promote cross-partition energy consumption complementarity and linkage optimization. This, in turn, helps to leverage the system's cascade energy-saving effect and achieve a systematic reduction in overall energy consumption and global optimization of resource utilization.

[0275] In this optional embodiment, as an optional implementation method, the above-mentioned target state parameters to be regulated for each zone of the mine are determined based on the extracted usage requirement satisfaction value, safety requirement satisfaction value, preset first priority value, preset second priority value, and newly acquired second multi-dimensional environmental parameters of the mine, including:

[0276] For each partition, based on the partition's usage demand satisfaction value and the preset first priority value, the first dynamic adjustment coefficient of the partition's usage dimension is calculated. The first dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current usage demand satisfaction and its importance level.

[0277] Based on the security requirement satisfaction value and the preset second priority value of the partition, the second dynamic adjustment coefficient of the security dimension of the partition is calculated. The second dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current security requirement satisfaction and its urgency level.

[0278] Based on the current environmental parameters in the newly acquired second multi-dimensional environmental parameters of the mine and the preset environmental parameter benchmark values ​​for the partition, the environmental state offset of the partition is determined; the current environmental parameters are used to represent the latest environmental status of the corresponding partition; the environmental parameter benchmark values ​​are used to characterize the reference environmental level of the partition under preset typical working conditions;

[0279] Based on the first dynamic adjustment coefficient, the second dynamic adjustment coefficient, the environmental state offset, and the rated operating parameters of the hot air blower equipment in the zone, the preliminary target state parameters that need to be regulated in the zone are calculated; the rated operating parameters are used to define the standard operating capacity range of the hot air blower equipment in the zone.

[0280] Based on the topological relationships between the zones of the mine and the coupling characteristics of equipment operation, the energy consumption coupling influence factor of the zone relative to other zones is determined; the energy consumption coupling influence factor is used to quantify the degree of indirect impact of the zone's state parameter adjustment on the overall system energy consumption.

[0281] Based on the initial target state parameters and energy consumption coupling influence factors, the final target state parameters required for regulation in this partition are obtained by correction.

[0282] It is evident that implementing this optional embodiment can improve the intelligent adaptability of the control intensity by dynamically adjusting the coefficients associated with the urgency level of the demand, thereby facilitating rapid resource allocation response to urgent needs and avoiding inefficient averaging, thus achieving hierarchical agility in resource scheduling. By quantifying the regional correlation characteristics through energy consumption coupling influencing factors, the risk of systemic fluctuations caused by local adjustments is reduced, which helps to predict and offset cross-regional energy consumption chain reactions, thereby maintaining the overall operational stability of the hot air unit and achieving global collaborative optimization of energy-saving control and proactive offsetting of energy consumption fluctuations.

[0283] In this optional embodiment, as another optional implementation, the above-mentioned generation of a coordinated control strategy for coal mine hot air units based on the target state parameters determined by all partitions and their corresponding preset first priority values ​​and preset second priority values ​​includes:

[0284] Determine the total dispatchable resources and operational constraints of the coal mine hot air unit; the operational constraints include the equipment safety threshold of the hot air unit and the preset minimum resource guarantee for each zone;

[0285] Identify the resource difference between the resource requirement corresponding to the target state parameters of each partition and the total schedulable resources;

[0286] Based on the preset first priority value, preset second priority value and resource difference of each partition, the target status parameters of each partition are dynamically adjusted.

[0287] Based on the adjusted target state parameters, a coordinated control strategy for coal mine hot air units is generated.

[0288] It is evident that implementing this optional embodiment can improve the flexible decision-making capability in resource-constrained scenarios by dynamically adjusting the target parameters driven by resource differences. This is conducive to ensuring the basic supply of key zones according to priority, thereby avoiding operational crashes caused by system overload and achieving optimal trade-off control under limited resources. Through the priority-oriented resource reallocation mechanism, the proportion of ineffective energy consumption in low-value areas is reduced, which is conducive to focusing the energy supply intensity of high-priority zones, thereby maximizing the production efficiency output per unit of energy consumption, and realizing the strategic value focus of energy allocation and precise empowerment of energy efficiency transformation.

[0289] Example 3

[0290] Please see Figure 3 , Figure 3This is a schematic diagram of another energy-saving control system based on a coal mine hot air blower unit disclosed in an embodiment of the present invention. This energy-saving control system based on a coal mine hot air blower unit can be applied to the coal mine hot air blower unit, and can also be applied to intelligent devices associated with the coal mine hot air blower unit. These intelligent devices include, but are not limited to, one or more of the following: switching devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices. The embodiments of the present invention do not limit this. Figure 3 As shown, the energy-saving control system based on the coal mine hot air unit may include:

[0291] Memory 301 that stores executable program code.

[0292] Processor 302 coupled to memory 301.

[0293] The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the energy-saving control method based on the coal mine hot air unit described in Embodiment 2 of the present invention.

[0294] Example 4

[0295] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the energy-saving control method based on a coal mine hot air unit described in Embodiment 2 of this invention.

[0296] Example 5

[0297] This invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the energy-saving control method based on a coal mine hot air unit described in Embodiment 2.

[0298] The system embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0299] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0300] Finally, it should be noted that the energy-saving control system and method based on a coal mine hot air unit disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An energy-saving control system based on a coal mine hot air unit, characterized in that, The system includes: The acquisition module is used to acquire the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional status parameters of the coal mine hot air unit; The judgment module is used to determine whether the mine meets the preset priority demand satisfaction conditions based on the first multi-dimensional environmental parameters and the multi-dimensional state parameters. The priority demand satisfaction conditions include the usage demand satisfaction conditions and / or safety demand satisfaction conditions for each partition of the mine. The control module is used to generate dynamic energy-saving control instructions for the coal mine hot air unit based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine when the judgment module determines that the mine meets the priority demand satisfaction condition, so as to regulate the multi-dimensional state parameters. Furthermore, the coal mine hot air unit includes hot air blower equipment corresponding to each of the zones, and the specific method by which the judgment module determines whether the mine meets the preset priority demand satisfaction conditions based on the first multi-dimensional environmental parameters and the multi-dimensional state parameters includes: Based on the partition environment parameters in the first multi-dimensional environmental parameters and the partition equipment status parameters in the multi-dimensional status parameters, the usage demand satisfaction value of each partition of the mine is calculated respectively; the partition environment parameters are used to represent the environmental condition of the partition; the partition equipment status parameters are used to represent the operating status of the hot air blower equipment serving the partition; Based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters, the safety requirement satisfaction value of each zone of the mine is calculated respectively; the safety environment parameters are used to represent preset key environmental indicators that affect the operational safety level of the mine; the safety equipment status parameters are used to represent the operational status indicators of the hot air blower equipment related to safety. Based on the calculated usage requirement satisfaction value and security requirement satisfaction value of each partition, determine whether they are greater than or equal to their respective preset satisfaction thresholds. When it is determined that the usage requirement satisfaction value and the safety requirement satisfaction value of a preset number of the partitions are greater than or equal to their respective preset satisfaction thresholds, then it is determined that the mine meets the preset priority requirement satisfaction condition. Furthermore, the control module generates dynamic energy-saving control commands for the coal mine hot air unit based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine. The specific methods for regulating the multi-dimensional state parameters include: Extract the usage requirement satisfaction value and safety requirement satisfaction value of each zone of the mine, as well as their respective preset first priority value and preset second priority value, from the priority requirement satisfaction condition; Based on the extracted usage requirement satisfaction value, safety requirement satisfaction value, preset first priority value, preset second priority value, and newly acquired second multi-dimensional environmental parameters of the mine, the target state parameters to be regulated for each zone of the mine are determined respectively; the target state parameters are used to characterize the operating state of the corresponding hot air blower equipment of the zone required to achieve energy saving under the condition of satisfying the priority requirement satisfaction of the corresponding zone. Based on the target state parameters determined by all the partitions and their corresponding preset first priority value and preset second priority value, a collaborative control strategy for the coal mine hot air unit is generated; the collaborative control strategy is used to coordinate the resource allocation and operating parameter settings of the hot air equipment in different partitions. Based on the aforementioned coordinated control strategy, dynamic energy-saving control commands are generated for the coal mine hot air unit to regulate the multi-dimensional state parameters.

2. The energy-saving control system based on a coal mine hot air unit according to claim 1, characterized in that, The specific method by which the judgment module calculates the usage requirement satisfaction value of each partition of the mine based on the partition environment parameters in the first multi-dimensional environmental parameters and the partition equipment status parameters in the multi-dimensional status parameters includes: For each partition, a first distance value is calculated between the partition environment parameters of the partition and the preset target range of the partition environment requirements of the partition. The first distance value is used to represent the degree of deviation between the partition environment parameters and the corresponding preset target range of the partition environment requirements. Calculate a first matching degree value between the partition device status parameters of the partition and the theoretical device status parameters required to achieve the target range of the partition environment requirements of the partition. The first matching degree value is used to represent the degree of matching between the partition device status parameters and the corresponding theoretical device status parameters. Based on all the first distance values ​​and all the first matching degree values ​​and their respective corresponding preset first priority values, the usage requirement satisfaction value of each of the mine's partitions is calculated, and the preset first priority value is associated with the attribute parameters of each partition.

3. The energy-saving control system based on a coal mine hot air unit according to claim 1, characterized in that, The specific method by which the judgment module calculates the safety requirement satisfaction value of each zone of the mine based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters includes: For each partition, a second distance value is calculated between the security environment parameter of the partition and a preset security threshold value for the partition. The second distance value is used to represent the degree of deviation of the security environment parameter relative to the corresponding security threshold value. The security threshold value is used to define a preset security boundary for the key security indicators of the partition. Calculate a second matching degree value between the safety device status parameters and the safety device baseline status parameters of the partition, wherein the safety device baseline status parameters are used to characterize the minimum equipment operation requirements to meet preset safety requirements; the second matching degree value is used to indicate the degree of matching between the safety device status parameters and the safety device baseline status parameters. Based on all the second distance values ​​and all the second matching degree values ​​and their respective corresponding preset second priority values, the safety requirement satisfaction value of each of the mine's partitions is calculated; the preset second priority value is associated with the current work items of each partition.

4. The energy-saving control system based on a coal mine hot air unit according to claim 1, characterized in that, The control module determines the target state parameters to be regulated for each zone of the mine based on the extracted usage requirement satisfaction value, safety requirement satisfaction value, preset first priority value, preset second priority value, and newly acquired second multi-dimensional environmental parameters of the mine. The specific methods for this determination include: For each partition, a first dynamic adjustment coefficient for the partition's usage dimension is calculated based on the partition's usage demand satisfaction value and the preset first priority value. The first dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current usage demand satisfaction and its importance level. Based on the security requirement satisfaction value and the preset second priority value of the partition, calculate the second dynamic adjustment coefficient of the security dimension of the partition. The second dynamic adjustment coefficient is used to represent the intensity of state parameter adjustment required based on the current security requirement satisfaction and its urgency level. Based on the current environmental parameters in the newly acquired second multi-dimensional environmental parameters of the mine and the preset environmental parameter benchmark value for the partition, the environmental state offset of the partition is determined; the current environmental parameters are used to represent the latest environmental status of the corresponding partition; the environmental parameter benchmark value is used to characterize the reference environmental level of the partition under preset typical working conditions; Based on the first dynamic adjustment coefficient, the second dynamic adjustment coefficient, the environmental state offset, and the rated operating parameters of the hot air blower equipment in the zone, the preliminary target state parameters to be regulated for the zone are calculated; the rated operating parameters are used to define the standard operating capacity range of the hot air blower equipment in the zone. Based on the topological relationships and equipment operation coupling characteristics between the zones of the mine, the energy consumption coupling influence factor of the zone relative to other zones is determined; the energy consumption coupling influence factor is used to quantify the degree of indirect impact of the zone's state parameter adjustment on the overall system energy consumption; Based on the preliminary target state parameters and the energy consumption coupling influence factor, the final target state parameters to be regulated for this partition are obtained by correction.

5. The energy-saving control system based on a coal mine hot air unit according to claim 1, characterized in that, The specific methods by which the control module generates a collaborative control strategy for the coal mine hot air unit based on the target state parameters determined by all the partitions and their corresponding preset first priority value and preset second priority value include: Determine the total schedulable resources and operational constraints of the coal mine hot air unit; the operational constraints include the equipment safety threshold of the hot air unit and the preset minimum resource guarantee for each zone; Identify the resource difference between the resource requirement corresponding to the target state parameter of each partition and the total schedulable resources; The target state parameters of each partition are dynamically adjusted based on the preset first priority value, the preset second priority value, and the resource difference of each partition. Based on the adjusted target state parameters, a coordinated control strategy for the coal mine hot air unit is generated.

6. An energy-saving control method based on a coal mine hot air unit, characterized in that, The method includes: Obtain the first multi-dimensional environmental parameters of the mine and the corresponding multi-dimensional state parameters of the coal mine hot air unit; Based on the first multi-dimensional environmental parameters and the multi-dimensional state parameters, it is determined whether the mine meets the preset priority demand satisfaction conditions. The priority demand satisfaction conditions include the usage demand satisfaction conditions and / or safety demand satisfaction conditions for each zone of the mine. When it is determined that the mine meets the priority demand satisfaction condition, a dynamic energy-saving control command for the coal mine hot air unit is generated based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine, so as to regulate the multi-dimensional state parameters. Furthermore, the coal mine hot air unit includes hot air blower equipment corresponding to each of the zones, and the step of determining whether the mine meets the preset priority demand satisfaction condition based on the first multi-dimensional environmental parameters and the multi-dimensional state parameters includes: Based on the partition environment parameters in the first multi-dimensional environmental parameters and the partition equipment status parameters in the multi-dimensional status parameters, the usage demand satisfaction value of each partition of the mine is calculated respectively; the partition environment parameters are used to represent the environmental condition of the partition; the partition equipment status parameters are used to represent the operating status of the hot air blower equipment serving the partition; Based on the safety environment parameters in the first multi-dimensional environmental parameters and the safety equipment status parameters in the multi-dimensional status parameters, the safety requirement satisfaction value of each zone of the mine is calculated respectively; the safety environment parameters are used to represent preset key environmental indicators that affect the operational safety level of the mine; the safety equipment status parameters are used to represent the operational status indicators of the hot air blower equipment related to safety. Based on the calculated usage requirement satisfaction value and security requirement satisfaction value of each partition, determine whether they are greater than or equal to their respective preset satisfaction thresholds. When it is determined that the usage requirement satisfaction value and the safety requirement satisfaction value of a preset number of the partitions are greater than or equal to their respective preset satisfaction thresholds, then it is determined that the mine meets the preset priority requirement satisfaction condition. Furthermore, the step of generating dynamic energy-saving control commands for the coal mine hot air unit based on the priority demand satisfaction condition and the newly acquired second multi-dimensional environmental parameters of the mine, in order to regulate the multi-dimensional state parameters, includes: Extract the usage requirement satisfaction value and safety requirement satisfaction value of each zone of the mine, as well as their respective preset first priority value and preset second priority value, from the priority requirement satisfaction condition; Based on the extracted usage requirement satisfaction value, safety requirement satisfaction value, preset first priority value, preset second priority value, and newly acquired second multi-dimensional environmental parameters of the mine, the target state parameters to be regulated for each zone of the mine are determined respectively; the target state parameters are used to characterize the operating state of the corresponding hot air blower equipment of the zone required to achieve energy saving under the condition of satisfying the priority requirement satisfaction of the corresponding zone. Based on the target state parameters determined by all the partitions and their corresponding preset first priority value and preset second priority value, a collaborative control strategy for the coal mine hot air unit is generated; the collaborative control strategy is used to coordinate the resource allocation and operating parameter settings of the hot air equipment in different partitions. Based on the aforementioned coordinated control strategy, dynamic energy-saving control commands are generated for the coal mine hot air unit to regulate the multi-dimensional state parameters.

7. An energy-saving control system based on a coal mine hot air unit, characterized in that, The system includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the energy-saving control method based on coal mine hot air unit as described in claim 6.

8. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the energy-saving control method based on a coal mine hot air unit as described in claim 6.

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