Mining underground temperature measurement control method and system based on intelligent explosion-proof wiring device

Abstract

The invention discloses a mining underground temperature measurement control method and system based on an intelligent explosion-proof wiring device, and relates to the field of temperature analysis control, and the method comprises the steps: carrying out the dynamic temperature adjustment based on a monitoring parameter, obtaining a load change value, and adjusting a load adjustment parameter of the intelligent explosion-proof wiring device; monitoring parameters of adjacent underground equipment are called for analysis, test current is sent based on a judgment result to obtain test feedback data, and corresponding control operation is carried out based on the cause of multi-terminal abnormity. According to the method, the control strategy is dynamically adjusted, adjacent equipment data are analyzed to judge the abnormal type, an alarm is given out for single-point abnormity, and multi-terminal abnormity is further diagnosed through the test current, so that the line risk is prevented, the safety is improved, and the accuracy and efficiency of temperature control are improved.

Description

Technical Field

[0001] The present invention relates to the field of temperature analysis and control, and in particular to a mine underground temperature measurement and control method and system based on an intelligent explosion-proof wiring device. Background Art

[0002] Due to the complex geological conditions and operating environment, underground mines present many potential safety hazards, especially abnormal temperatures. Conventional mining cable junction boxes currently used on the market require long cables due to the long operating lengths of underground mines. These cables continue to heat up during long-term use. Due to the principle of thermal expansion and contraction, the gaps between the cables gradually widen over time, potentially causing the cables to loosen from the cable clamps. This increases the cable's resistance, heat generation, and accelerated cable aging. Therefore, intelligent temperature measurement and control are necessary.

[0003] Prior art, such as the invention patent with publication number CN101842679B, is a temperature control device, specifically comprising a calorimeter having: at least one reactor for receiving a sample, a reactor jacket surrounding the reactor, a reactor heating device, and a reactor cooling device for regulating the internal temperature of the reactor, wherein the reactor cooling device comprises a thermoelectric cooling element thermally connected to a coolant. The calorimeter is characterized in that the reactor cooling device and the reactor heating device are individual units, and both the reactor cooling device and the reactor heating device are thermally connected to the reactor via the reactor jacket.

[0004] Existing technology, such as the invention patent with publication number CN110487437B, is an integrated temperature monitoring system. This system includes a multi-point temperature detection module, which includes a heat sink and multiple temperature detection components disposed within the heat sink. The heat sink is configured to be bonded to the IGBT module, and the temperature detection components contact the surface of the IGBT module to detect the temperature data of the IGBT module. A data acquisition and processing module is electrically connected to the multi-point temperature detection module and is configured to obtain temperature data detected by each temperature detection component on the multi-point temperature detection module. The temperature data is analyzed using a preset data analysis strategy to determine the temperature value of the IGBT module. This system can detect temperature data on the IGBT module at multiple points and correct the acquired temperature data.

[0005] Based on the above solution, it can be seen that the existing technology in the field of temperature control often focuses on temperature control through a single cooling method. However, in actual applications, the factors that cause temperature rise vary depending on the environment and are relatively diverse. Only cooling without considering the reasons for the temperature rise may result in ineffective cooling. In addition, frequent startup of cooling modules or devices will also increase the load of the system itself, thereby causing secondary temperature rise. Therefore, it is necessary to intelligently control the temperature based on the temperature rise factors of the environment. Summary of the Invention

[0006] In view of the shortcomings of the existing technology, the present invention provides a method and system for underground mine temperature measurement control based on an intelligent explosion-proof wiring device. To achieve the above objectives, the present invention is implemented through the following technical solutions: The method for underground mine temperature measurement control based on an intelligent explosion-proof wiring device includes:

[0007] The monitoring parameters of the intelligent explosion-proof wiring device in underground mines are collected in real time, and dynamic temperature adjustment is performed based on the monitoring parameters. If the temperature drop value of the intelligent explosion-proof wiring device is less than the minimum temperature adjustment function value after dynamic temperature adjustment, an emergency current shutdown request is sent to the management terminal and an early warning is issued.

[0008] If the temperature reduction value of the intelligent explosion-proof wiring device is greater than or equal to the minimum temperature adjustment function value after dynamic temperature adjustment, the load change value is obtained and the load adjustment parameter of the intelligent explosion-proof wiring device is adjusted.

[0009] During the monitoring period, if the number of dynamic temperature adjustments is greater than the adjustment number threshold, the intelligent explosion-proof wiring device is marked as an abnormal intelligent explosion-proof wiring device. At the same time, the monitoring parameters of the adjacent downhole equipment of the intelligent explosion-proof wiring device during the monitoring period are retrieved for analysis to obtain the abnormal judgment result.

[0010] If the abnormal judgment result is a single abnormality, an early warning alarm will be sent to the management terminal for prompt processing.

[0011] If the abnormality judgment result is a multi-terminal abnormality, a test current is sent to the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment to obtain test feedback data, determine the cause of the multi-terminal abnormality, and perform corresponding control operations based on the cause of the multi-terminal abnormality.

[0012] As an optimal technical solution, the monitoring parameters of the intelligent explosion-proof wiring device used in underground mines are collected in real time, and dynamic temperature adjustment is performed based on the monitoring parameters. The specific process is as follows:

[0013] The monitoring parameters of the intelligent explosion-proof wiring device include real-time temperature, real-time current and real-time gas impurity concentration. When the real-time current exceeds the preset current threshold, the step-down current regulation module is started to obtain the current difference between the real-time current and the current threshold. Based on the current difference and the mapping set of current difference and step-down current regulation parameters preset in the database, mapping and matching are performed to obtain the step-down current regulation parameters of the step-down current regulation module, and the current is adjusted according to the step-down current regulation parameters.

[0014] When the real-time temperature exceeds the preset temperature threshold, the cooling module is started to obtain the temperature difference between the real-time temperature and the temperature threshold. The temperature difference and the mapping set of the temperature difference and the cooling parameter preset in the database are mapped and matched to obtain the cooling parameters of the cooling module. At the same time, the real-time current is obtained. The maximum limited power of the cooling module is obtained based on the real-time current and the mapping set of the real-time current and the maximum limited power of the cooling module preset in the database. The demand current and demand voltage of the cooling parameter of the cooling module are used to obtain the execution power of the cooling module. The execution power of the cooling module is compared with the maximum limited power of the cooling module. If the execution power of the cooling module is greater than the maximum limited power of the cooling module, the power difference ratio value of the cooling module is obtained. The cooling parameter of the cooling module is proportionally corrected based on the power difference ratio value to obtain the corrected cooling parameter, and the cooling module is adjusted with the corrected cooling parameter to perform cooling processing.

[0015] When the real-time gas impurity concentration exceeds the preset gas impurity concentration threshold, the ventilation module is started to obtain the concentration difference between the real-time gas impurity concentration and the gas impurity concentration threshold, and the concentration difference and the mapping set of the ventilation parameters preset in the database are mapped and matched to obtain the ventilation parameters of the ventilation module. At the same time, the real-time current is obtained, and the mapping set of the real-time current and the maximum power limit of the ventilation module preset in the database is mapped and matched to obtain the maximum power limit of the ventilation module. Based on the demand current and demand voltage of the ventilation parameters of the ventilation module, the execution power of the ventilation module is obtained, and the execution power of the ventilation module is compared with the maximum power limit of the ventilation module. If the execution power of the ventilation module is greater than the maximum power limit of the ventilation module, the power difference ratio value of the ventilation module is obtained, and the ventilation parameters of the ventilation module are proportionally corrected based on the power difference ratio value to obtain the corrected ventilation parameters, and the ventilation module is adjusted with the corrected ventilation parameters to perform ventilation processing.

[0016] As a preferred technical solution, if the temperature drop value of the intelligent explosion-proof wiring device is less than the minimum temperature adjustment function value after dynamic temperature adjustment, an emergency current shutdown request is sent to the management terminal and an early warning is issued. The specific process is as follows:

[0017] The real-time temperature of the intelligent explosion-proof wiring device is obtained and compared with the temperature before dynamic temperature adjustment to obtain the temperature reduction value.

[0018] Extract the corrected cooling parameters of the cooling module during dynamic temperature adjustment, put the cooling parameters into a mapping set with the first minimum temperature adjustment function value, and obtain the first minimum temperature adjustment function value of dynamic temperature adjustment through mapping and matching. Extract the corrected ventilation parameters of the ventilation module during dynamic temperature adjustment, put the ventilation parameters into a mapping set with the second minimum temperature adjustment function value, and obtain the second minimum temperature adjustment function value of dynamic temperature adjustment through mapping and matching.

[0019] The temperature difference value is input into the mapping set of the temperature difference value preset in the database and the weighted decision element of the cooling module for mapping and matching, and the weighted decision element of the cooling module is obtained. The concentration difference value is input into the mapping set of the concentration difference value preset in the database and the weighted decision element of the ventilation module for mapping and matching, and the weighted decision element of the ventilation module is obtained. The weighted decision element of the cooling module and the weighted decision element of the ventilation module are added to obtain the weighted unit element. The ratio of the weighted decision element of the cooling module to the weighted unit element is used as the weight factor of the first minimum temperature adjustment function value. The ratio of the weighted decision element of the ventilation module to the weighted unit element is used as the weight factor of the second minimum temperature adjustment function value. The first minimum temperature adjustment function value and the second minimum temperature adjustment function value are weightedly coupled to obtain the minimum temperature adjustment function value.

[0020] The temperature drop value is compared with the minimum temperature adjustment function value. If the temperature drop value is less than the minimum temperature adjustment function value, the dynamic temperature adjustment is judged to be invalid, and an emergency current shutdown request is sent to the management terminal and an early warning is issued.

[0021] As a preferred technical solution, the load change value is obtained and the load regulation parameters of the intelligent explosion-proof wiring device are adjusted, specifically including:

[0022] Record the power values ​​before and after dynamic temperature adjustment and make the difference to get the load change value.

[0023] Based on the sign of the load change value, if the load change value is negative, no load regulation is performed.

[0024] If the load change value is positive, the load change value is compared with the load change threshold value stored in the database. When the load change value is greater than the load change threshold value, the load change value is subtracted from the load change threshold value to obtain a load change difference, which is mapped and matched with the mapping set of the load change difference and the load adjustment parameters stored in the database to obtain the load adjustment parameters of the intelligent explosion-proof wiring device. The load adjustment parameters include overall power factor parameters, voltage stabilizing device parameters and filter parameters. The load of the intelligent explosion-proof wiring device is adjusted based on the load adjustment parameters of the intelligent explosion-proof wiring device.

[0025] As a preferred technical solution, the monitoring parameters of the underground equipment adjacent to the intelligent explosion-proof wiring device during the monitoring period are retrieved for analysis to obtain abnormality judgment results, including:

[0026] During the monitoring period, the automatic adjustment records of the intelligent explosion-proof wiring device are integrated for analysis. If the number of dynamic temperature adjustments is greater than the adjustment number threshold, the intelligent explosion-proof wiring device is marked as an abnormal intelligent explosion-proof wiring device, and the monitoring parameters of the adjacent underground equipment of the intelligent explosion-proof wiring device during the monitoring period are retrieved.

[0027] The monitoring parameters of adjacent downhole equipment during the monitoring period include the average temperature, average current and average gas impurity concentration of the adjacent downhole equipment during the monitoring period, which are compared with the monitoring parameter threshold sets corresponding to the adjacent downhole equipment to obtain the deviation values ​​of the monitoring parameters of the adjacent downhole equipment during the monitoring period. The deviation values ​​of the monitoring parameters are weighted coupled to obtain the monitoring verification values ​​of the adjacent downhole equipment during the monitoring period.

[0028] The monitoring verification value of the adjacent downhole equipment within the monitoring period is compared with the monitoring verification threshold. If the monitoring verification value of the adjacent downhole equipment is greater than or equal to the monitoring verification threshold, the abnormality judgment result is a multi-terminal abnormality.

[0029] If the monitoring verification value of the adjacent downhole equipment is less than the monitoring verification threshold, the abnormality judgment result is a single abnormality.

[0030] As a preferred technical solution, if the abnormality judgment result is a single abnormality, an early warning alarm is sent to the management terminal for prompt processing, specifically including:

[0031] If the abnormality judgment result is a single abnormality, an early warning alarm is sent to the management terminal to remind processing. At the same time, the dynamic temperature adjustment times of the intelligent explosion-proof wiring device within the monitoring period are subtracted from the adjustment times threshold to obtain the adjustment times difference of the intelligent explosion-proof wiring device. The adjustment times difference and the mapping set of the adjustment times difference and the processing constraint time pre-stored in the database are mapped and matched to obtain the processing constraint time of the intelligent explosion-proof wiring device.

[0032] After sending a warning alarm to the management terminal for prompt processing, if the waiting processing time is greater than the processing constraint time, the current on the remote high-voltage side will be automatically shut down, and an early warning will be issued to the management terminal again.

[0033] As a preferred technical solution, test current is sent to the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment to obtain test feedback data and determine the cause of the multi-terminal abnormality, specifically including:

[0034] If the abnormality judgment result is multi-terminal abnormality, the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment will be recorded as abnormal equipment, and the line performance monitoring parameters of each abnormal equipment in unit time will be obtained, including current fluctuation peak, current harmonic content, voltage fluctuation peak and line impedance.

[0035] The line performance verification parameters of each abnormal device are extracted from the database, including current fluctuation peak threshold, current harmonic verification content, voltage fluctuation peak threshold and line verification impedance.

[0036] The line performance monitoring parameters of each abnormal device are compared with their corresponding line performance verification parameters to obtain the current fluctuation peak deviation value, current harmonic content deviation value, voltage fluctuation peak deviation value and line impedance deviation value of each abnormal device, and weighted coupling is performed to obtain the line performance monitoring value of each abnormal device. Based on the line performance monitoring value of each abnormal device, a mapping match is performed with the mapping set of line performance monitoring values ​​and test currents pre-stored in the database to obtain the test current of each abnormal device.

[0037] The corresponding test current is sent to each abnormal device to obtain test feedback data, including the current response time, three-phase amplitude difference, power factor and device vibration frequency during the test period.

[0038] The test feedback verification data of each abnormal device is extracted from the database, and the test feedback data of each abnormal device is compared with the corresponding test feedback verification data to obtain the line inspection result of each abnormal device.

[0039] When the line inspection results of each abnormal device are all normal, it is determined that the cause of the multi-terminal abnormality is an external cause.

[0040] When the line inspection result of any abnormal device is line abnormality, it is determined that the cause of the multi-terminal abnormality is an internal cause.

[0041] As the preferred technical solution, the cause of multi-terminal anomalies is internal, and the specific processing conditions are:

[0042] If the cause of the multi-terminal abnormality is internal, a request to interrupt the local current is sent to the management terminal, and at the same time, a local fault warning and maintenance requirement information is sent to the management terminal.

[0043] The number of devices with abnormal line results is counted, and the number of devices is mapped and matched with the mapping set of the number of devices and the permitted constraint time stored in the database to obtain the permitted constraint time of this multi-terminal abnormality.

[0044] After sending an early warning alarm to the management terminal for reminder processing, if the waiting time for requesting permission is greater than the permission constraint time, the local current will be automatically interrupted, and at the same time, a local fault early warning and maintenance requirement information will be sent to the management terminal again.

[0045] As a preferred technical solution, the causes of multi-terminal anomalies are external, including:

[0046] If the cause of multi-terminal anomalies is external, then based on the line performance monitoring values ​​of each abnormal device, the line performance monitoring values ​​and monitoring adjustment parameters pre-stored in the database are put into the mapping set, and after mapping matching, the monitoring adjustment parameters of each abnormal device are obtained, including the data sampling rate and the monitoring cycle length.

[0047] Based on the monitoring adjustment parameters of each abnormal device, the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment are monitored in the next monitoring cycle.

[0048] In addition, a mine underground temperature measurement and control system based on an intelligent explosion-proof wiring device includes:

[0049] The dynamic temperature adjustment module is used to collect the monitoring parameters of the intelligent explosion-proof wiring device in underground mines in real time and perform dynamic temperature adjustment based on the monitoring parameters. If the temperature drop value of the intelligent explosion-proof wiring device is less than the minimum temperature adjustment function value after dynamic temperature adjustment, an emergency current shutdown request is sent to the management terminal and an early warning is issued.

[0050] The load intelligent adjustment module is used to obtain the load change value and adjust the load adjustment parameters of the intelligent explosion-proof wiring device if the temperature reduction value of the intelligent explosion-proof wiring device is greater than or equal to the minimum temperature adjustment function value after dynamic temperature adjustment.

[0051] The abnormality judgment module is used to mark the intelligent explosion-proof wiring device as an abnormal intelligent explosion-proof wiring device if the number of dynamic temperature adjustments is greater than the adjustment number threshold during the monitoring period. At the same time, the monitoring parameters of the adjacent downhole equipment of the intelligent explosion-proof wiring device during the monitoring period are retrieved for analysis to obtain the abnormality judgment result.

[0052] The single exception handling module is used to send an early warning alarm to the management terminal for prompt processing if the exception judgment result is a single exception.

[0053] The multi-terminal abnormality processing module is used to send test current to the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment to obtain test feedback data if the abnormality judgment result is a multi-terminal abnormality, determine the cause of the multi-terminal abnormality, and perform corresponding control operations based on the cause of the multi-terminal abnormality.

[0054] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:

[0055] (1) The present invention provides a temperature measurement and control method for underground mines based on an intelligent explosion-proof wiring device. By collecting real-time multi-dimensional data such as temperature, current, and gas concentration, the method dynamically adjusts control strategies such as cooling, current reduction, and ventilation. At the same time, the method limits the maximum power of each module based on real-time current, effectively preventing overload. The method also determines whether the temperature control is effective. If not, the method automatically triggers the shutdown of the current and issues an early warning prompt, thereby effectively preventing risks such as overheating and fire at the wiring terminal.

[0056] (2) The present invention determines device anomalies by counting the number of adjustment actions and comparing data from adjacent devices to analyze whether there are multiple anomalies. Based on the analysis results, different processing modes are activated, and tentative test currents are further sent to multiple-end anomalies to determine whether the fault is caused by the external environment. The processing strategy is automatically adjusted based on the diagnostic results to improve control efficiency.

[0057] Of course, any product implementing the present invention does not necessarily need to achieve all of the above advantages at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 The figure is a flow chart of the method involved in the embodiment of the present invention.

[0059] Figure 2 This is a schematic diagram of system modules involved in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0061] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0062] See also Figure 1 As shown, an embodiment of the present invention provides a mine underground temperature measurement control method based on an intelligent explosion-proof wiring device, specifically comprising:

[0063] The monitoring parameters of the intelligent explosion-proof wiring device in underground mines are collected in real time, and dynamic temperature adjustment is performed based on the monitoring parameters. If the temperature drop value of the intelligent explosion-proof wiring device is less than the minimum temperature adjustment function value after dynamic temperature adjustment, an emergency current shutdown request is sent to the management terminal and an early warning is issued.

[0064] Real-time collection of monitoring parameters of intelligent explosion-proof wiring devices used in underground mines, and dynamic temperature adjustment based on the monitoring parameters. The specific process is as follows:

[0065] The monitoring parameters of the intelligent explosion-proof wiring device include real-time temperature, real-time current and real-time gas impurity concentration. When the real-time current exceeds the preset current threshold, the step-down current regulation module is started to obtain the current difference between the real-time current and the current threshold. Based on the current difference and the mapping set of current difference and step-down current regulation parameters preset in the database, mapping and matching are performed to obtain the step-down current regulation parameters of the step-down current regulation module, and the current is adjusted according to the step-down current regulation parameters.

[0066] If the real-time current does not exceed the preset current threshold, no processing is performed and the real-time current continues to be monitored.

[0067] It should be noted that, in the embodiment of the present invention, the buck current regulation parameters acting on the buck current regulation module include a buck amplitude value and a buck regulation rate.

[0068] The voltage reduction amplitude indicates the magnitude of the voltage reduction and determines the range of voltage variation during current regulation.

[0069] Buck regulation rate refers to the speed at which the voltage changes during voltage regulation.

[0070] Based on the step-down amplitude value and step-down regulation rate of the step-down current regulation module, the tap position parameters of the power supply transformer and the output control parameters of the voltage regulator are adjusted to reduce the current.

[0071] When the real-time temperature exceeds the preset temperature threshold, the cooling module is started to obtain the temperature difference between the real-time temperature and the temperature threshold. The temperature difference and the mapping set of the temperature difference and the cooling parameter preset in the database are mapped and matched to obtain the cooling parameter of the cooling module. At the same time, the real-time current is obtained. The maximum power limit of the cooling module is obtained based on the real-time current and the mapping set of the real-time current and the maximum power limit of the cooling module preset in the database. The driving current and driving voltage of the cooling parameter of the cooling module are used to obtain the execution power of the cooling module. The execution power of the cooling module is compared with the maximum power limit of the cooling module. If the execution power of the cooling module is greater than the maximum power limit of the cooling module, the power difference ratio value of the cooling module is obtained. The cooling parameter of the cooling module is proportionally corrected based on the power difference ratio value to obtain the corrected cooling parameter, and the cooling module is adjusted with the corrected cooling parameter to perform cooling processing. If the execution power of the cooling module is less than or equal to the maximum power limit of the cooling module, the cooling parameter is not corrected.

[0072] If the real-time temperature does not exceed the preset temperature threshold, no processing is performed and the real-time temperature continues to be monitored.

[0073] It should be noted that, in the embodiment of the present invention, the cooling module uses thermoelectric cooling, and its cooling parameters include driving current, driving voltage, temperature gradient size and target cooling temperature.

[0074] The driving current (Driving Current) refers to the current applied to a thermoelectric cooler, measured in amperes (A). It directly determines the cooling capacity of the thermoelectric cooler. A larger temperature difference increases the driving current, which in turn increases the carrier migration within the thermocouple and the resulting Peltier effect. However, this also results in increased heat load and energy consumption.

[0075] Driving voltage refers to the voltage applied across the thermoelectric element, measured in volts (V). Together with the driving current, it determines the power system's compatibility and the cooler's operating state. Excessively high or low voltages can affect the performance and lifespan of the thermoelectric element.

[0076] Temperature gradient magnitude refers to the temperature difference between the cold and hot ends of a thermoelectric module, measured in degrees Celsius (°C). This temperature gradient is a manifestation of the Peltier effect. A stable temperature gradient helps maintain efficient module cooling.

[0077] The target cooling temperature refers to the target temperature that is expected to be achieved by the thermoelectric cooler in the junction box.

[0078] The intelligent explosion-proof wiring device can be cooled by adjusting the driving current, driving voltage, temperature gradient and target cooling temperature of the thermoelectric cooler.

[0079] When the real-time gas impurity concentration exceeds the preset gas impurity concentration threshold, the ventilation module is started to obtain the concentration difference between the real-time gas impurity concentration and the gas impurity concentration threshold, and the concentration difference is mapped and matched based on the concentration difference and the mapping set of the ventilation parameters preset in the database to obtain the ventilation parameters of the ventilation module. At the same time, the real-time current is obtained, and the maximum limited power of the ventilation module is obtained based on the real-time current and the mapping set of the real-time current and the maximum limited power of the ventilation module preset in the database. The driving current and driving voltage of the ventilation parameters of the ventilation module are used to obtain the execution power of the ventilation module, and the execution power of the ventilation module is compared with the maximum limited power of the ventilation module. If the execution power of the ventilation module is greater than the maximum limited power of the ventilation module, the power difference ratio value of the ventilation module is obtained, and the ventilation parameters of the ventilation module are proportionally corrected based on the power difference ratio value to obtain the corrected ventilation parameters. The ventilation module is adjusted with the corrected ventilation parameters to perform ventilation processing. If the execution power of the ventilation module is less than or equal to the maximum limited power of the ventilation module, the ventilation parameters are not corrected.

[0080] If the real-time gas impurity concentration does not exceed the preset gas impurity concentration threshold, no processing is performed and the real-time gas impurity concentration continues to be monitored.

[0081] It should be noted that, in the embodiment of the present invention, the ventilation parameters of the ventilation module include wind speed, ventilation motor driving current, ventilation motor driving voltage and working time.

[0082] By adjusting the driving current and driving voltage parameters of the ventilation motor, the speed of the fan is controlled, and then the wind speed is adjusted to achieve the ventilation effect.

[0083] If the temperature drop value of the intelligent explosion-proof wiring device is lower than the minimum temperature adjustment function value after dynamic temperature adjustment, an emergency current shutdown request is sent to the management terminal and an early warning is issued. The specific process is as follows:

[0084] The real-time temperature of the intelligent explosion-proof wiring device is obtained and compared with the temperature before dynamic temperature adjustment to obtain the temperature reduction value.

[0085] Extract the corrected cooling parameters of the cooling module during dynamic temperature adjustment, put the cooling parameters into a mapping set with the first minimum temperature adjustment function value, and obtain the first minimum temperature adjustment function value of dynamic temperature adjustment through mapping and matching. Extract the corrected ventilation parameters of the ventilation module during dynamic temperature adjustment, put the ventilation parameters into a mapping set with the second minimum temperature adjustment function value, and obtain the second minimum temperature adjustment function value of dynamic temperature adjustment through mapping and matching.

[0086] Inputting the temperature difference value into a mapping set of temperature difference values ​​preset in a database and weighted decision elements of the cooling module for mapping and matching, thereby obtaining a weighted decision element of the cooling module; inputting the concentration difference value into a mapping set of concentration difference values ​​preset in a database and weighted decision elements of the ventilation module for mapping and matching, thereby obtaining a weighted decision element of the ventilation module; adding the weighted decision element of the cooling module and the weighted decision element of the ventilation module to obtain a weighted unit element; using the ratio of the weighted decision element of the cooling module to the weighted unit element as a weight factor of a first minimum temperature adjustment function value; using the ratio of the weighted decision element of the ventilation module to the weighted unit element as a weight factor of a second minimum temperature adjustment function value; and performing weighted coupling on the first minimum temperature adjustment function value and the second minimum temperature adjustment function value to obtain a minimum temperature adjustment function value, specifically comprising:

[0087] ;

[0088] ;

[0089] ;

[0090] ;

[0091] in, is the minimum temperature adjustment function value, is the first minimum temperature adjustment function value, is the second lowest temperature adjustment function value, is the weight factor of the first lowest temperature adjustment function value, is the weight factor of the second lowest temperature adjustment function value, is the weight unit, is the weighted decision element of the cooling module, It is the weighted decision element of the ventilation module.

[0092] The temperature drop value is compared with the minimum temperature adjustment function value. If the temperature drop value is less than the minimum temperature adjustment function value, the dynamic temperature adjustment is judged to be invalid, and an emergency current shutdown request is sent to the management terminal and an early warning is issued.

[0093] If after dynamic temperature adjustment, the temperature reduction value of the intelligent explosion-proof wiring device is greater than or equal to the minimum temperature adjustment function value, the dynamic temperature adjustment is judged to be effective, the load change value is obtained, and the load adjustment parameter of the intelligent explosion-proof wiring device is adjusted.

[0094] Obtain the load change value and adjust the load regulation parameters of the intelligent explosion-proof wiring device, including:

[0095] Record the power values ​​before and after dynamic temperature adjustment and make the difference to get the load change value.

[0096] Based on the positive or negative value of the load change, it should be noted that, in the embodiment of the present invention, since the dynamic temperature adjustment is determined to be effective adjustment, the case where the load change value is 0 is not considered.

[0097] If the load change value is negative, no load regulation is performed.

[0098] If the load change value is positive, the load change value is compared with the load change threshold value stored in the database. When the load change value is greater than the load change threshold value, the load change value is subtracted from the load change threshold value to obtain a load change difference, which is mapped and matched with the mapping set of the load change difference and the load adjustment parameters stored in the database to obtain the load adjustment parameters of the intelligent explosion-proof wiring device. The load adjustment parameters include overall power factor parameters, voltage stabilizing device parameters and filter parameters. The load of the intelligent explosion-proof wiring device is adjusted based on the load adjustment parameters of the intelligent explosion-proof wiring device.

[0099] If the load change value is less than or equal to the load change threshold, no load adjustment is performed.

[0100] It should be noted that, in the embodiment of the present invention, the load regulation parameters include overall power factor parameters, voltage stabilization device parameters, and filter parameters, specifically including:

[0101] The power factor is a core indicator that reflects the efficiency of electric energy use. The overall power factor is used to improve system efficiency and reduce reactive power loss. The overall power factor parameters include the target power factor, reactive power compensation capacity, and compensation adjustment step value.

[0102] Voltage stabilization device parameters are used to regulate load voltage stability and prevent overvoltage and undervoltage from affecting device life and stability. Specifically, they include the voltage change limit rate, the maximum allowable voltage fluctuation value, and the voltage deviation tolerance.

[0103] Filter parameters are used to eliminate high-frequency harmonics in circuits, improve power quality, and prevent equipment overheating. They specifically include harmonic suppression rate targets, filter cutoff frequency, and filter reactance.

[0104] The power factor regulator regulates the overall power factor parameters. The specific adjustment process includes: Based on the target power factor value, the operating state of the reactive power compensation device is adjusted to bring the system's power factor close to the target value. The capacity of the reactive power compensation device is adjusted to compensate for reactive power in the system and optimize energy usage. The step size of reactive power compensation is adjusted to ensure that the power factor is always maintained within the optimal range.

[0105] Automatic voltage regulation controls the parameters of voltage stabilization equipment. The specific adjustment process includes: limiting the voltage change rate to prevent rapid voltage fluctuations; adjusting the voltage regulator's response speed to ensure smooth voltage regulation under load changes; and adjusting the voltage within the maximum allowable voltage fluctuation range to maintain the voltage within the set safety range, avoiding overvoltage or undervoltage. Voltage deviation tolerance ensures that even minor deviations in voltage regulation will not affect normal equipment operation.

[0106] By adjusting filter parameters and the filter's operating mode based on the filter's harmonic suppression target, high-frequency harmonics in the system can be reduced. Based on the filter's cutoff frequency, the appropriate frequency band is selected for filtering to eliminate harmonics of specific frequencies and prevent equipment overheating. By adjusting the filter's reactance, the filtering effect in the circuit is optimized, ensuring improved power quality and reducing equipment overheating and power loss.

[0107] During the monitoring period, if the number of dynamic temperature adjustments is greater than the adjustment number threshold, the intelligent explosion-proof wiring device is marked as an abnormal intelligent explosion-proof wiring device. At the same time, the monitoring parameters of the adjacent downhole equipment of the intelligent explosion-proof wiring device during the monitoring period are retrieved for analysis to obtain the abnormal judgment result.

[0108] If the number of dynamic temperature adjustments is less than or equal to the adjustment number threshold, no marking is performed.

[0109] The monitoring parameters of the underground equipment adjacent to the intelligent explosion-proof wiring device during the monitoring period are retrieved for analysis to obtain abnormal judgment results, including:

[0110] During the monitoring period, the automatic adjustment records of the intelligent explosion-proof wiring device are integrated for analysis. If the number of dynamic temperature adjustments is greater than the adjustment number threshold, the intelligent explosion-proof wiring device is marked as an abnormal intelligent explosion-proof wiring device, and the monitoring parameters of the adjacent underground equipment of the intelligent explosion-proof wiring device during the monitoring period are retrieved.

[0111] The monitoring parameters of the adjacent downhole equipment during the monitoring period include the average temperature, average current, and average gas impurity concentration of the adjacent downhole equipment during the monitoring period. These parameters are compared with the monitoring parameter threshold sets corresponding to the adjacent downhole equipment to obtain the deviation values ​​of the monitoring parameters of the adjacent downhole equipment during the monitoring period. The deviation values ​​of the monitoring parameters are weighted and coupled to obtain the monitoring verification values ​​of the adjacent downhole equipment during the monitoring period, which specifically include:

[0112] ;

[0113] in, For the The monitoring verification value of adjacent underground equipment within the monitoring period, For the The average temperature of adjacent downhole equipment during the monitoring period, For the The average current of adjacent downhole equipment during the monitoring period, For the The average gas impurity concentration of adjacent downhole equipment during the monitoring period, For the The temperature threshold of adjacent downhole equipment, For the The current threshold of adjacent downhole equipment, For the The gas impurity concentration threshold of adjacent downhole equipment, is the temperature weight, is the current weight, is the gas impurity concentration weight, Number the adjacent underground equipment of the intelligent explosion-proof wiring device. , The number of adjacent underground equipment for intelligent explosion-proof wiring devices.

[0114] It should be noted that the temperature weight, current weight and gas impurity concentration weight all have a value range between 0 and 1 and satisfy The temperature weight is the influencing factor of temperature pre-stored in the database, which indicates the degree of influence of temperature on the monitoring verification value of adjacent downhole equipment during the monitoring period; the current weight is the influencing factor of current pre-stored in the database, which indicates the degree of influence of current on the monitoring verification value of adjacent downhole equipment during the monitoring period; the gas impurity concentration weight is the influencing factor of gas impurity concentration pre-stored in the database, which indicates the degree of influence of gas impurity concentration on the monitoring verification value of adjacent downhole equipment during the monitoring period. When used, it is directly extracted from the database. For example, after inputting temperature, current and gas impurity concentration into the preset mapping set, the temperature weight, current weight and gas impurity concentration weight are obtained, and the corresponding mapping relationship is one-to-one.

[0115] It should also be noted that the average temperature, average current, and average gas impurity concentration of adjacent underground equipment during the monitoring period are correlated. When electrical equipment is operating, the greater the current, the greater the resistance heating, leading to an increase in the temperature of the equipment or the environment. If the average current remains consistently high and the average temperature gradually rises during a monitoring period, this may indicate line overload, cable insulation aging, or abnormal ventilation and heat dissipation. If the average temperature rises but the average current remains normal, it may be due to an external heat source. High temperatures can easily lead to material aging, insulation volatilization, or the release of harmful gases such as coal dust and gas, which in turn increase gas impurity concentrations. If the average temperature rises while the gas impurity concentration significantly increases, it may indicate thermal decomposition or equipment sealing issues. Abnormal current (such as short circuits, poor contact, and harmonics) can cause the internal temperature of electrical equipment to rise, leading to the release of volatile gases or impurities. If current fluctuations or increases in average current are accompanied by an increase in gas impurity concentration, it can be preliminarily diagnosed as an electrical fault or abnormal connector heating. This can also be used to determine whether there is a potential arc discharge risk in the junction box.

[0116] The monitoring verification value of the adjacent downhole equipment within the monitoring period is compared with the monitoring verification threshold. If the monitoring verification value of the adjacent downhole equipment is greater than or equal to the monitoring verification threshold, the abnormality judgment result is a multi-terminal abnormality.

[0117] If the monitoring verification value of the adjacent downhole equipment is less than the monitoring verification threshold, the abnormality judgment result is a single abnormality.

[0118] If the abnormality judgment result is a single abnormality, an early warning alarm will be sent to the management terminal for prompt processing, including:

[0119] If the abnormality judgment result is a single abnormality, an early warning alarm is sent to the management terminal to remind processing. At the same time, the dynamic temperature adjustment times of the intelligent explosion-proof wiring device within the monitoring period are subtracted from the adjustment times threshold to obtain the adjustment times difference of the intelligent explosion-proof wiring device. The adjustment times difference and the mapping set of the adjustment times difference and the processing constraint time pre-stored in the database are mapped and matched to obtain the processing constraint time of the intelligent explosion-proof wiring device.

[0120] After sending a warning alarm to the management terminal for reminder processing, if the waiting processing time is greater than the processing constraint time, the current on the remote high-voltage side will be automatically shut down, and an early warning will be issued to the management terminal again.

[0121] If the waiting processing time is less than or equal to the processing constraint time, no warning will be issued.

[0122] It should be noted that the waiting processing time refers to the length of time between the time when the early warning alarm is sent and the time when the current is shut off.

[0123] If the abnormality judgment result is a multi-terminal abnormality, a test current is sent to the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment to obtain test feedback data, determine the cause of the multi-terminal abnormality, and perform corresponding control operations based on the cause of the multi-terminal abnormality.

[0124] Send test current to abnormal intelligent explosion-proof wiring devices and adjacent underground equipment to obtain test feedback data and determine the cause of multi-terminal abnormalities, including:

[0125] If the abnormality judgment result is multi-terminal abnormality, the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment will be recorded as abnormal equipment, and the line performance monitoring parameters of each abnormal equipment in unit time will be obtained, including current fluctuation peak, current harmonic content, voltage fluctuation peak and line impedance.

[0126] The current fluctuation peak refers to the maximum deviation of the instantaneous current value from its average value per unit time, and is used to measure the severity of current changes in the system.

[0127] Current harmonic content refers to the proportion of high-frequency harmonics, excluding the fundamental wave, in the current waveform per unit time. High harmonic content often stems from abnormal operation of power electronic equipment such as inverters and frequency converters, potentially causing equipment vibration, increased energy consumption, heat generation, or system instability.

[0128] The voltage fluctuation peak value indicates the maximum voltage change within a unit time due to factors such as load changes, line disturbances or power supply fluctuations.

[0129] Line impedance refers to the complex impedance of a power line, consisting of both resistance and reactance components. It directly impacts voltage transmission efficiency and current flow characteristics. This parameter can reflect line aging, contact condition, and transmission capacity. An abnormally high line impedance may indicate loose connectors, line corrosion, or damaged cable insulation.

[0130] The line performance verification parameters of each abnormal device are extracted from the database, including current fluctuation peak threshold, current harmonic verification content, voltage fluctuation peak threshold and line verification impedance.

[0131] The line performance monitoring parameters of each abnormal device are compared with their corresponding line performance verification parameters to obtain the current fluctuation peak deviation value, current harmonic content deviation value, voltage fluctuation peak deviation value and line impedance deviation value of each abnormal device. Weighted coupling is performed to obtain the line performance monitoring value of each abnormal device, specifically including:

[0132] ;

[0133] in, For the Line performance monitoring value of abnormal equipment, For the The peak current fluctuation of abnormal equipment, For the The current harmonic content of each abnormal device, For the The voltage fluctuation peak value of each abnormal device, For the The line impedance of the abnormal device, For the The current fluctuation peak threshold of each abnormal device, For the Current harmonic verification content of abnormal equipment, For the The voltage fluctuation peak threshold of each abnormal device, For the The line check impedance of each abnormal device, is the current fluctuation peak weighting coefficient, is the weighting coefficient of current harmonic content, is the voltage fluctuation peak weighting coefficient, is the line impedance weighting coefficient, The abnormal device number, , The total number of abnormal devices.

[0134] It should be noted that the current fluctuation peak weighting coefficient, current harmonic content weighting coefficient, voltage fluctuation peak weighting coefficient and line impedance weighting coefficient all have a value range between 0 and 1 and meet the following requirements: The current fluctuation peak weighting coefficient is the influence factor of the current fluctuation peak pre-stored in the database, which indicates the degree of influence of the current fluctuation peak on the line performance monitoring value of each abnormal device; the current harmonic content weighting coefficient is the influence factor of the current harmonic content pre-stored in the database, which indicates the degree of influence of the current harmonic content on the line performance monitoring value of each abnormal device; the voltage fluctuation peak weighting coefficient is the influence factor of the voltage fluctuation peak pre-stored in the database, which indicates the degree of influence of the voltage fluctuation peak on the line performance monitoring value of each abnormal device; the line impedance weighting coefficient is the influence factor of the line impedance pre-stored in the database, which indicates the degree of influence of the line impedance on the line performance monitoring value of each abnormal device. When used, it is directly extracted from the database. For example, the real-time current fluctuation peak, current harmonic content, voltage fluctuation peak and line impedance of each abnormal device are input into the preset mapping set in the database to obtain the current fluctuation peak weighting coefficient, current harmonic content weighting coefficient, voltage fluctuation peak weighting coefficient and line impedance weighting coefficient, and the corresponding mapping relationship is one-to-one.

[0135] It should also be noted that the line performance monitoring parameters for each abnormal device per unit time, including current fluctuation peak, current harmonic content, voltage fluctuation peak, and line impedance, are closely related. High harmonic content can easily induce increased current and voltage fluctuation peaks. Harmonics can cause current and voltage distortion in the line, thereby increasing fluctuation peaks. When high-frequency harmonics are transmitted on high-impedance paths, their impact is even more significant, easily triggering equipment malfunction or overheating. Increased impedance amplifies fluctuation peaks and harmonics. In high-impedance environments, the system's response to load changes is more sluggish and fluctuations are more pronounced. Furthermore, harmonics decay more slowly in high-impedance lines, resulting in higher harmonic content.

[0136] Based on the line performance monitoring value of each abnormal device, mapping and matching are performed with a mapping set of line performance monitoring values ​​and test currents pre-stored in a database to obtain the test current of each abnormal device.

[0137] The corresponding test current is sent to each abnormal device to obtain test feedback data, including the current response time, three-phase amplitude difference, power factor and device vibration frequency during the test period.

[0138] Current response time refers to the time it takes for an abnormal device's current to stabilize or reach a preset value after receiving a test current signal. It measures the device's current control and load response performance. A long response time may indicate poor contact, a sluggish control system response, or aging internal circuitry.

[0139] The three-phase amplitude difference refers to the maximum difference between the three-phase current amplitudes in a three-phase power system. Measuring the balance of the three-phase power is a key parameter for determining whether the power supply system is functioning properly. If the three-phase amplitude difference is greater than the normal tolerance range, it indicates problems such as load imbalance, line faults, or wiring errors in the motor or power equipment.

[0140] Power factor is the ratio of active power to apparent power. It indicates how effectively electrical energy is being used, and ranges from 0 to 1. It reflects equipment operating efficiency. A higher power factor indicates more efficient energy utilization, while a low power factor indicates a high level of reactive power. A low power factor may indicate abnormal grid load, reduced equipment operating efficiency, or the presence of harmonics.

[0141] Equipment vibration frequency refers to the frequency of mechanical vibrations generated by abnormal equipment during operation, measured in Hertz (Hz). It reflects the mechanical condition of the equipment. Vibration at a specific frequency may indicate bearing wear, imbalance, or an abnormal motor magnetic field.

[0142] Extract the test feedback verification data of each abnormal device from the database, including the current response verification time, three-phase amplitude verification difference, verification power factor, and equipment vibration verification frequency. Compare the test feedback data of each abnormal device with the corresponding test feedback verification data to obtain the line inspection results of each abnormal device, including:

[0143]

[0144] in, For the The test feedback value of abnormal equipment, For the The current response time during the test period of the abnormal device, For the The three-phase amplitude difference during the test period of the abnormal equipment, For the The power factor during the test period of the abnormal equipment, For the The equipment vibration frequency during the abnormal equipment test period, For the Current response verification time of each abnormal device, For the The three-phase amplitude calibration difference of each abnormal device, For the Verify power factor of abnormal equipment, For the Equipment vibration check frequency of each abnormal equipment, is the current response time weight factor, is the three-phase amplitude difference weight factor, is the power factor weighting factor, is the equipment vibration frequency weight factor, The abnormal device number, , The total number of abnormal devices.

[0145] It should be noted that the current response time weight factor, three-phase amplitude difference weight factor, power factor weight factor and equipment vibration frequency weight factor all have a value range between 0 and 1 and meet the following requirements: The current response time weight factor is an influencing factor of the current response time pre-stored in the database, which indicates the degree of influence of the current response time on the test feedback value of each abnormal device; the three-phase amplitude difference weight factor is an influencing factor of the three-phase amplitude difference pre-stored in the database, which indicates the degree of influence of the three-phase amplitude difference on the test feedback value of each abnormal device; the power factor weight factor is an influencing factor of the power factor pre-stored in the database, which indicates the degree of influence of the power factor on the test feedback value of each abnormal device; the equipment vibration frequency weight factor is an influencing factor of the equipment vibration frequency pre-stored in the database, which indicates the degree of influence of the equipment vibration frequency on the test feedback value of each abnormal device. When used, it is directly extracted from the database. For example, the real-time current response time, three-phase amplitude difference, power factor and equipment vibration frequency of each abnormal device are input into the preset mapping set in the database to obtain the current response time weight factor, three-phase amplitude difference weight factor, power factor weight factor and equipment vibration frequency weight factor, and the corresponding mapping relationship is one-to-one.

[0146] It's also important to note that there's a correlation between current response time, three-phase amplitude difference, power factor, and equipment vibration frequency. Current response time refers to the time it takes for the current to reach a stable state after the device receives the test current. A long response time often indicates strong inductance or electrical aging, resulting in a slow current buildup. The power factor reflects the device's efficiency in utilizing electrical energy. When the device primarily operates with inductive loads, the power factor is typically low. Therefore, a long current response time is often accompanied by a low power factor, indicating electrical issues with the device. The three-phase amplitude difference refers to the maximum amplitude difference between the three phases. A large difference indicates an imbalance in the three-phase power supply. This imbalance can cause significant variations in current response time between phases and can also cause unstable operation of the electric equipment, generating periodic or aperiodic vibrations and resulting in abnormal fluctuations in the equipment's vibration frequency. Therefore, large three-phase amplitude differences, inconsistent response times, and abnormal vibration frequencies often share a common abnormal trend. A low power factor indicates that the equipment is using electrical energy inefficiently and that the electromagnetic system is unstable, which may cause magnetic imbalance and lead to increased mechanical vibration. When there is degradation of capacitance and inductance within the equipment, it is also easy to cause resonance in the mechanical structure, which manifests as an increase in vibration frequency or abnormal fluctuations. The coupling between power factor and vibration frequency can reflect abnormal electromagnetic-mechanical coordination problems. During the equipment startup phase, if the current response time is long, it means that the system takes a long time to establish equilibrium. During this stage, rotating equipment such as motors may experience short-term disturbances in vibration frequency. If the vibration persists after the response stabilizes, it may indicate mechanical problems such as wear and looseness of internal rotating parts.

[0147] When the test feedback value of a certain abnormal device is greater than the test feedback threshold, it is determined that the line inspection result of the abnormal device is line abnormality.

[0148] When the test feedback value of an abnormal device is less than or equal to the test feedback threshold, the line inspection result of the abnormal device is determined to be normal.

[0149] When the line inspection results of each abnormal device are all normal, it is determined that the cause of the multi-terminal abnormality is an external cause.

[0150] When the line inspection result of any abnormal device is line abnormality, it is determined that the cause of the multi-terminal abnormality is an internal cause.

[0151] The cause of multi-terminal anomalies is internal, and the specific processing conditions are:

[0152] If the cause of the multi-terminal abnormality is internal, a request to interrupt the local current is sent to the management terminal, and at the same time, a local fault warning and maintenance requirement information is sent to the management terminal.

[0153] The number of devices with abnormal line results is counted, and the number of devices is mapped and matched with the mapping set of the number of devices and the permitted constraint time stored in the database to obtain the permitted constraint time of this multi-terminal abnormality.

[0154] After sending an early warning alarm to the management terminal for reminder processing, if the waiting time for requesting permission is greater than the permission constraint time, the local current will be automatically interrupted, and at the same time, a local fault early warning and maintenance requirement information will be sent to the management terminal again.

[0155] If the waiting request permission time is less than or equal to the permission constraint time, the local current interruption command sent by the management terminal is executed.

[0156] It should be noted that the waiting time for requesting permission refers to the length of time from the time when the early warning alarm is sent to the time when the management terminal sends the command to interrupt the local current.

[0157] The causes of multi-terminal anomalies are external, including:

[0158] If the cause of multi-terminal anomalies is external, then based on the line performance monitoring values ​​of each abnormal device, the line performance monitoring values ​​and monitoring adjustment parameters pre-stored in the database are put into the mapping set, and after mapping matching, the monitoring adjustment parameters of each abnormal device are obtained, including the data sampling rate and the monitoring cycle length.

[0159] The data sampling rate refers to the frequency of monitoring data collection per unit time, measured in Hz (for example, 10 Hz means 10 samples per second). The data sampling rate determines the device's response speed and sensitivity to dynamic changes. The lower the line performance monitoring value, the lower the corresponding data sampling rate.

[0160] The monitoring cycle length refers to the length of the analysis window set for continuous monitoring, which determines the window for calculating data statistical characteristics. The lower the line performance monitoring value, the longer the matching monitoring cycle length.

[0161] Based on the monitoring adjustment parameters of each abnormal device, the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment are monitored in the next monitoring cycle.

[0162] See also Figure 2 As shown, in this embodiment, the present invention provides a mine underground temperature measurement and control system based on an intelligent explosion-proof wiring device, specifically including:

[0163] The dynamic temperature adjustment module is used to collect the monitoring parameters of the intelligent explosion-proof wiring device in underground mines in real time and perform dynamic temperature adjustment based on the monitoring parameters. If the temperature drop value of the intelligent explosion-proof wiring device is less than the minimum temperature adjustment function value after dynamic temperature adjustment, an emergency current shutdown request is sent to the management terminal and an early warning is issued.

[0164] The load intelligent adjustment module is used to obtain the load change value and adjust the load adjustment parameters of the intelligent explosion-proof wiring device if the temperature reduction value of the intelligent explosion-proof wiring device is greater than or equal to the minimum temperature adjustment function value after dynamic temperature adjustment.

[0165] The abnormality judgment module is used to mark the intelligent explosion-proof wiring device as an abnormal intelligent explosion-proof wiring device if the number of dynamic temperature adjustments is greater than the adjustment number threshold during the monitoring period. At the same time, the monitoring parameters of the adjacent downhole equipment of the intelligent explosion-proof wiring device during the monitoring period are retrieved for analysis to obtain the abnormality judgment result.

[0166] The single exception handling module is used to send an early warning alarm to the management terminal for prompt processing if the exception judgment result is a single exception.

[0167] The multi-terminal abnormality processing module is used to send test current to the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment to obtain test feedback data if the abnormality judgment result is a multi-terminal abnormality, determine the cause of the multi-terminal abnormality, and perform corresponding control operations based on the cause of the multi-terminal abnormality.

[0168] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0169] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made based on the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can better understand and utilize the present invention. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should fall within the scope of protection of the present invention.

Claims

1. A mine underground temperature measurement and control method based on an intelligent explosion-proof wiring device is characterized in that: include: Real-time collection of monitoring parameters of intelligent explosion-proof wiring devices used in underground mines, dynamic temperature adjustment based on the monitoring parameters, and if the temperature drop of the intelligent explosion-proof wiring device after dynamic temperature adjustment is less than the minimum temperature adjustment function value, an emergency current shutdown request is sent to the management terminal and an early warning is issued; If the temperature drop value of the intelligent explosion-proof wiring device is greater than or equal to the minimum temperature adjustment function value after dynamic temperature adjustment, the load change value is obtained and the load adjustment parameter of the intelligent explosion-proof wiring device is adjusted; During the monitoring period, if the number of dynamic temperature adjustments is greater than the adjustment number threshold, the intelligent explosion-proof wiring device is marked as an abnormal intelligent explosion-proof wiring device. At the same time, the monitoring parameters of the adjacent underground equipment of the intelligent explosion-proof wiring device during the monitoring period are retrieved for analysis to obtain an abnormal judgment result; If the abnormality judgment result is a single abnormality, an early warning alarm will be sent to the management terminal to remind processing; If the abnormality judgment result is a multi-terminal abnormality, a test current is sent to the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment to obtain test feedback data, determine the cause of the multi-terminal abnormality, and perform corresponding control operations based on the cause of the multi-terminal abnormality.

2. The underground mine temperature measurement and control method based on the intelligent explosion-proof wiring device according to claim 1 is characterized in that: The real-time collection of monitoring parameters of the intelligent explosion-proof wiring device for underground mines and the dynamic temperature adjustment based on the monitoring parameters are as follows: The monitoring parameters of the intelligent explosion-proof wiring device include real-time temperature, real-time current, and real-time gas impurity concentration. When the real-time current exceeds a preset current threshold, the step-down current regulation module is activated to obtain the current difference between the real-time current and the current threshold. Based on the current difference and the mapping set of current difference and step-down current regulation parameters preset in the database, a mapping is performed to obtain the step-down current regulation parameters of the step-down current regulation module, and the current is regulated according to the step-down current regulation parameters. When the real-time temperature exceeds the preset temperature threshold, the cooling module is started to obtain the temperature difference between the real-time temperature and the temperature threshold, and the temperature difference is mapped and matched based on the temperature difference and the mapping set of the temperature difference and the cooling parameter preset in the database to obtain the cooling parameter of the cooling module. At the same time, the real-time current is obtained, and the maximum limiting power of the cooling module is obtained based on the real-time current and the mapping set of the real-time current and the maximum limiting power of the cooling module preset in the database. The demand current and demand voltage of the cooling parameter of the cooling module are used to obtain the execution power of the cooling module, and the execution power of the cooling module is compared with the maximum limiting power of the cooling module. If the execution power of the cooling module is greater than the maximum limiting power of the cooling module, the power difference ratio value of the cooling module is obtained, and the cooling parameter of the cooling module is proportionally corrected based on the power difference ratio value to obtain the corrected cooling parameter, and the cooling module is adjusted with the corrected cooling parameter to perform cooling processing; When the real-time gas impurity concentration exceeds the preset gas impurity concentration threshold, the ventilation module is started to obtain the concentration difference between the real-time gas impurity concentration and the gas impurity concentration threshold, and the concentration difference and the mapping set of the ventilation parameters preset in the database are mapped and matched to obtain the ventilation parameters of the ventilation module. At the same time, the real-time current is obtained, and the mapping set of the real-time current and the maximum power limit of the ventilation module preset in the database is mapped and matched to obtain the maximum power limit of the ventilation module. Based on the demand current and demand voltage of the ventilation parameters of the ventilation module, the execution power of the ventilation module is obtained, and the execution power of the ventilation module is compared with the maximum power limit of the ventilation module. If the execution power of the ventilation module is greater than the maximum power limit of the ventilation module, the power difference ratio value of the ventilation module is obtained, and the ventilation parameters of the ventilation module are proportionally corrected based on the power difference ratio value to obtain the corrected ventilation parameters, and the ventilation module is adjusted with the corrected ventilation parameters to perform ventilation processing.

3. The underground mine temperature measurement and control method based on the intelligent explosion-proof wiring device according to claim 1 is characterized in that: If the temperature drop value of the intelligent explosion-proof wiring device is less than the minimum temperature adjustment function value after dynamic temperature adjustment, an emergency current shutdown request is sent to the management terminal and an early warning is issued. The specific process is as follows: Obtain the real-time temperature of the intelligent explosion-proof wiring device and compare it with the temperature before dynamic temperature adjustment to obtain the temperature reduction value; Extracting the corrected cooling parameters of the cooling module during dynamic temperature adjustment, putting the cooling parameters into a mapping set with the first minimum temperature adjustment function value, mapping and matching to obtain the first minimum temperature adjustment function value for dynamic temperature adjustment; extracting the corrected ventilation parameters of the ventilation module during dynamic temperature adjustment, putting the ventilation parameters into a mapping set with the second minimum temperature adjustment function value, mapping and matching to obtain the second minimum temperature adjustment function value for dynamic temperature adjustment; Inputting the temperature difference value into the mapping set of the temperature difference value preset in the database and the weighted decision element of the cooling module for mapping and matching, thereby obtaining the weighted decision element of the cooling module; inputting the concentration difference value into the mapping set of the concentration difference value preset in the database and the weighted decision element of the ventilation module for mapping and matching, thereby obtaining the weighted decision element of the ventilation module; adding the weighted decision element of the cooling module and the weighted decision element of the ventilation module to obtain a weighted unit element; using the ratio of the weighted decision element of the cooling module to the weighted unit element as the weight factor of the first minimum temperature adjustment function value; using the ratio of the weighted decision element of the ventilation module to the weighted unit element as the weight factor of the second minimum temperature adjustment function value; performing weighted coupling on the first minimum temperature adjustment function value and the second minimum temperature adjustment function value to obtain the minimum temperature adjustment function value; The temperature drop value is compared with the minimum temperature adjustment function value. If the temperature drop value is less than the minimum temperature adjustment function value, the dynamic temperature adjustment is judged to be invalid, and an emergency current shutdown request is sent to the management terminal and an early warning is issued.

4. The underground mine temperature measurement and control method based on the intelligent explosion-proof wiring device according to claim 1 is characterized in that: The step of obtaining the load change value and adjusting the load regulation parameters of the intelligent explosion-proof wiring device specifically includes: Record the power values ​​before and after dynamic temperature adjustment and make the difference to get the load change value; Based on the positive or negative value of the load change, if the load change value is negative, no load adjustment is performed; If the load change value is positive, the load change value is compared with the load change threshold value pre-stored in the database. When the load change value is greater than the load change threshold value, the load change value is subtracted from the load change threshold value to obtain a load change difference, which is mapped and matched with a mapping set of load change differences and load adjustment parameters pre-stored in the database to obtain the load adjustment parameters of the intelligent explosion-proof wiring device. The load adjustment parameters include overall power factor parameters, voltage stabilizing device parameters and filter parameters. The load of the intelligent explosion-proof wiring device is adjusted based on the load adjustment parameters of the intelligent explosion-proof wiring device.

5. The underground mine temperature measurement and control method based on the intelligent explosion-proof wiring device according to claim 1 is characterized in that: The process of retrieving and analyzing monitoring parameters of the adjacent underground equipment of the intelligent explosion-proof wiring device within a monitoring period to obtain abnormality judgment results specifically includes: During the monitoring period, the automatic adjustment records of the intelligent explosion-proof wiring device are integrated and analyzed. If the number of dynamic temperature adjustments exceeds the adjustment number threshold, the intelligent explosion-proof wiring device is marked as an abnormal intelligent explosion-proof wiring device, and the monitoring parameters of the adjacent underground equipment of the intelligent explosion-proof wiring device during the monitoring period are retrieved. The monitoring parameters of the adjacent downhole equipment during the monitoring period include the average temperature, average current, and average gas impurity concentration of the adjacent downhole equipment during the monitoring period, which are respectively compared with the monitoring parameter threshold sets corresponding to the adjacent downhole equipment to obtain deviation values ​​of the monitoring parameters of the adjacent downhole equipment during the monitoring period, and the deviation values ​​of the monitoring parameters are weighted and coupled to obtain a monitoring verification value of the adjacent downhole equipment during the monitoring period; Compare the monitoring verification value of the adjacent downhole equipment within the monitoring period with the monitoring verification threshold. If the monitoring verification value of the adjacent downhole equipment is greater than or equal to the monitoring verification threshold, the abnormality judgment result is a multi-terminal abnormality; If the monitoring verification value of the adjacent downhole equipment is less than the monitoring verification threshold, the abnormality judgment result is a single abnormality.

6. The underground mine temperature measurement and control method based on the intelligent explosion-proof wiring device according to claim 1 is characterized in that: If the abnormality judgment result is a single abnormality, a warning alarm is sent to the management terminal for prompt processing, specifically including: If the abnormality judgment result is a single abnormality, an early warning alarm is sent to the management terminal for prompt processing. At the same time, the number of dynamic temperature adjustments of the intelligent explosion-proof wiring device within the monitoring period is subtracted from the adjustment number threshold to obtain the adjustment number difference of the intelligent explosion-proof wiring device. The adjustment number difference is mapped and matched with the mapping set of adjustment number differences and processing constraint times pre-stored in the database to obtain the processing constraint time of the intelligent explosion-proof wiring device. After sending a warning alarm to the management terminal for prompt processing, if the waiting processing time is greater than the processing constraint time, the current on the remote high-voltage side will be automatically shut down, and an early warning will be issued to the management terminal again.

7. The underground mine temperature measurement and control method based on the intelligent explosion-proof wiring device according to claim 1 is characterized in that: The step of sending a test current to the abnormal intelligent explosion-proof wiring device and adjacent underground equipment to obtain test feedback data and determine the cause of the multi-terminal abnormality specifically includes: If the abnormality judgment result is multi-terminal abnormality, the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment are recorded as abnormal equipment, and the line performance monitoring parameters of each abnormal equipment per unit time are obtained, including current fluctuation peak value, current harmonic content, voltage fluctuation peak value and line impedance; Extract line performance verification parameters for each abnormal device from the database, including current fluctuation peak threshold, current harmonic verification content, voltage fluctuation peak threshold, and line verification impedance; The line performance monitoring parameters of each abnormal device are compared with their corresponding line performance verification parameters to obtain the current fluctuation peak deviation value, current harmonic content deviation value, voltage fluctuation peak deviation value and line impedance deviation value of each abnormal device, and weighted coupling is performed to obtain the line performance monitoring value of each abnormal device. Based on the line performance monitoring value of each abnormal device, a mapping match is performed with the mapping set of line performance monitoring values ​​and test currents pre-stored in the database to obtain the test current of each abnormal device; Send the corresponding test current to each abnormal device and obtain test feedback data, including current response time, three-phase amplitude difference, power factor and device vibration frequency during the test period; Extract the test feedback verification data of each abnormal device from the database, compare the test feedback data of each abnormal device with the corresponding test feedback verification data, and obtain the line inspection result of each abnormal device; If the line inspection results of all abnormal devices are normal, the cause of the multi-terminal abnormality is determined to be an external cause; When the line inspection result of any abnormal device is line abnormality, it is determined that the cause of the multi-terminal abnormality is an internal cause.

8. The underground mine temperature measurement and control method based on the intelligent explosion-proof wiring device according to claim 7 is characterized in that: The cause of the multi-terminal anomaly is internal, and the specific processing conditions are: If the cause of the multi-terminal abnormality is internal, a request to interrupt the local current is sent to the management terminal, and at the same time, a local fault warning and maintenance requirement information is sent to the management terminal; Count the number of devices with abnormal line results, and map the number of devices to the mapping set of device numbers and permitted constraint times stored in the database to obtain the permitted constraint time of this multi-terminal abnormality; After sending an early warning alarm to the management terminal for reminder processing, if the waiting time for requesting permission is greater than the permission constraint time, the local current will be automatically interrupted, and at the same time, a local fault early warning and maintenance requirement information will be sent to the management terminal again.

9. The underground mine temperature measurement and control method based on the intelligent explosion-proof wiring device according to claim 7, characterized in that: The causes of the multi-terminal anomaly are external, including: If the cause of the multi-terminal anomaly is external, then based on the line performance monitoring value of each abnormal device, the line performance monitoring value and the monitoring adjustment parameter mapping set pre-stored in the database are respectively input. After mapping matching, the monitoring adjustment parameters of each abnormal device are obtained, including the data sampling rate and the monitoring cycle length; Based on the monitoring adjustment parameters of each abnormal device, the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment are monitored in the next monitoring cycle.

10. A system for underground mine temperature measurement and control method based on the intelligent explosion-proof wiring device according to claims 1-9, characterized in that: The dynamic temperature adjustment module is used to collect monitoring parameters of the intelligent explosion-proof wiring device in underground mines in real time and perform dynamic temperature adjustment based on the monitoring parameters. If the temperature drop of the intelligent explosion-proof wiring device after dynamic temperature adjustment is less than the minimum temperature adjustment function value, an emergency current shutdown request is sent to the management terminal and an early warning is issued; The load intelligent adjustment module is used to obtain the load change value and adjust the load adjustment parameters of the intelligent explosion-proof wiring device if the temperature drop value of the intelligent explosion-proof wiring device is greater than or equal to the minimum temperature adjustment function value after dynamic temperature adjustment; The abnormality judgment module is used to mark the intelligent explosion-proof wiring device as an abnormal intelligent explosion-proof wiring device if the number of dynamic temperature adjustments is greater than the adjustment number threshold during the monitoring period, and simultaneously retrieve the monitoring parameters of the adjacent underground equipment of the intelligent explosion-proof wiring device during the monitoring period for analysis to obtain an abnormality judgment result; A single exception handling module is used to send an early warning alarm to the management terminal to remind processing if the abnormal judgment result is a single abnormality; The multi-terminal abnormality processing module is used to send test current to the abnormal intelligent explosion-proof wiring device and each adjacent underground equipment to obtain test feedback data if the abnormality judgment result is a multi-terminal abnormality, determine the cause of the multi-terminal abnormality, and perform corresponding control operations based on the cause of the multi-terminal abnormality.

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