Coal yard safety equipment management method and system based on environmental monitoring

Abstract

The invention relates to the technical field of coal yard safety management and environment monitoring, and discloses a coal yard safety equipment management method and system based on environment monitoring, and the method comprises the steps: collecting environment data and equipment operation state data in real time; generating an environment-operation state-equipment associated data set; after interference data caused by production halt overhaul and operation plans are eliminated, data, exceeding a preset safety threshold value, of any point in the associated data set are marked to be abnormal; performing risk index calculation on the data marked abnormally to obtain a risk index; generating a security equipment action list based on the risk level automatic matching library; and performing conflict detection on the action list, the equipment maintenance work order and the energy scheduling plan, and performing dynamic adjustment according to a safety priority-production guarantee-energy-saving optimization principle. The real-time performance, the accuracy, the coordination and the automation level of safety management of the coal yard are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal yard safety management and environmental monitoring, and in particular to a coal yard safety equipment management method and system based on environmental monitoring. Background Art

[0002] In recent years, intelligent and refined management of coal yards has become an important development trend in the industry. Coal yard management technology has gradually transformed from traditional manual inspections and passive disposal modes to active intelligent management modes based on the Internet of Things, digital twins and big data analysis; for example, using grid management technology to visualize coal yard spatial information to improve coal yard operating efficiency; or based on three-dimensional modeling technology to achieve accurate monitoring of coal pile information and optimization of coal blending and combustion plans to improve the overall management efficiency of the coal yard.

[0003] CN114841599A discloses a coal yard grid management method, which only focuses on the visual display of coal yard spatial information and coal storage properties, and does not involve the correlation analysis between coal yard environmental monitoring parameters and equipment operating status, making it difficult to proactively predict potential safety risks; CN116629779A discloses a coal yard three-dimensional model management method, which, although it performs relatively precise control of coal pile information, lacks the integrated analysis of real-time environmental parameters and safety equipment status, and cannot timely and proactively identify coal yard safety hazards caused by environmental factors; therefore, the above scheme is insufficient in real-time monitoring of safety risks, proactive early warning, and formulation and implementation of emergency response measures, and is difficult to fully meet the actual needs of efficient and safe management of coal yards.

[0004] To sum up, existing coal yard management technologies generally have problems such as insufficient integration of environmental data and equipment status, and weak proactive risk warning capabilities, making it difficult to effectively solve the problems of rapid identification, response, and elimination of coal yard safety risks. The technical problem solved by the present invention is how to realize the fusion analysis of coal yard environmental monitoring data and the operating status of safety equipment, so as to actively discover and evaluate safety risks, and automatically generate safety equipment response measures that match the risk level, so as to realize proactive, intelligent, and refined management of coal yard safety management. Summary of the Invention

[0005] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract of the specification and the title of the invention of this application to avoid blurring the purpose of this section, the abstract of the specification and the title of the invention, and such simplifications or omissions cannot be used to limit the scope of the invention.

[0006] In view of the above existing problems, the present invention is proposed.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: multi-source sensor nodes are arranged in a grid pattern inside and outside the coal yard to collect environmental data and equipment operating status data in real time;

[0008] Using a unified time base, synchronize and align environmental data, device operating status data, and security device control logs within 10 minutes before and after the end of the current sliding window to generate a correlated data set of environment, operating status, and device.

[0009] According to the operation plan of the production scheduling system and the maintenance management system, after eliminating the interference data caused by the shutdown maintenance and operation plan, any data point in the associated data set that exceeds the preset safety threshold is marked as abnormal;

[0010] Perform risk index calculation on the data marked as abnormal to obtain the risk index;

[0011] Based on the risk level automatic matching library, a safety equipment action list is generated, including starting and stopping the sprinkler system, adjusting ventilation volume, speed limiting conveyor belts, regional power outages, and sound and light alarms;

[0012] The action list is checked for conflicts with the equipment maintenance work order and the energy scheduling plan. If a conflict exists, it is dynamically adjusted according to the principle of safety first - production guarantee - energy saving optimization.

[0013] As a preferred solution of the coal yard safety equipment management method based on environmental monitoring described in the present invention, the multi-source sensor nodes are arranged in a grid pattern inside and outside the coal yard, including:

[0014] A three-dimensional layered layout method is adopted, with at least one set of temperature-gas composite sensors deployed on the surface, middle and base of the coal pile;

[0015] The sensor nodes are evenly distributed in a 5m×5m grid in the plane direction and form a self-recovery topology through the ZigBee-Mesh wireless network;

[0016] A 360° rotating infrared thermal imager is installed above the coal yard to obtain the surface temperature distribution of the coal pile;

[0017] Connect all sensor nodes to the IEEE 1588 precision clock synchronization network to ensure that the data timestamp error is less than 1s;

[0018] Among them, the surface layer of the coal pile is ≤0.5m, the middle layer of the coal pile is 0.5m~2m, and the base of the coal pile is ≥2m.

[0019] As a preferred embodiment of the coal yard safety equipment management method based on environmental monitoring according to the present invention, the environmental data includes at least temperature, humidity, wind speed, wind direction, dust concentration, carbon monoxide concentration, methane gas concentration and infrared thermal image grayscale matrix;

[0020] The equipment operation status data includes at least the winch torque, the sprinkler pump outlet pressure, the ventilator speed, the transmission belt linear speed, the motor current and the bearing temperature;

[0021] The equipment operation status data is obtained by collecting safety equipment, and the safety equipment at least includes a winch, a sprinkler device, a ventilator and a transmission belt machine, wherein the equipment control command of the safety equipment is issued via industrial Ethernet.

[0022] As a preferred solution of the coal yard safety equipment management method based on environmental monitoring according to the present invention, generating an environment-operating status-equipment association data set includes:

[0023] Define the environmental parameter set as E = {T, H, WS, WD, Dust, CO, CH4, IR};

[0024] Where T is temperature, H is humidity, WS is wind speed, WD is wind direction, Dust is dust concentration, CO is carbon monoxide concentration, CH4 is methane gas concentration, and IR is the infrared thermal image grayscale matrix;

[0025] Define the operating state parameter set as O = {Torque, P out ,n fan ,v belt ,I motor ,T bearing};

[0026] Among them, Torque is the output torque of the winch, P out is the outlet pressure of the sprinkler pump, n fan is the fan speed, v belt is the transmission belt linear speed, I motor is the driving motor current, T bearing is the bearing temperature;

[0027] Define a device control log set L, whose fields include device ID, action type, execution result and timestamp;

[0028] Each record is stored in the format of 〈E,O,L,t,ID〉, where t is the IEEE 1588 synchronization timestamp and ID is the device number.

[0029] As a preferred solution of the coal yard safety equipment management method based on environmental monitoring of the present invention, data in the associated data set that exceeds a preset safety threshold at any point is marked as abnormal, including:

[0030] When x i ≥θ×(1+α) and lasts for Δt i, the data point is marked as abnormal, where x i is the real-time measurement value of the i-th environmental parameter, θ is the preset safety threshold, α is the margin coefficient, Δt i is the duration threshold;

[0031] Perform target segmentation and grayscale clustering on the infrared thermal image grayscale matrix IR. If there are consecutive n frames with temperatures higher than T crit If the clustering occurs and the area accounts for ≥β%, the corresponding grid temperature will be considered abnormal;

[0032] Among them, T crit is the high temperature determination threshold of thermal image, and β is the minimum ratio threshold of high temperature clusters occupying the entire frame area.

[0033] As a preferred solution of the coal yard safety equipment management method based on environmental monitoring described in the present invention, a risk index calculation is performed on the abnormally marked data to obtain the risk index R, including:

[0034]

[0035] Among them, x i is the real-time measurement value of the i-th environmental parameter, i is the environmental parameter category index, m is the total number of environmental parameter categories involved in risk calculation, θ is its preset safety threshold, and w i is the weight coefficient of the i-th type environmental parameter, satisfying

[0036] When R ≥ 30%, it is risk level I, which is high risk. The machine will be shut down immediately, the power supply to the area will be cut off, the spraying will be continued to cool down, and a 110dB alarm will be triggered.

[0037] When 10%≤R<30%, it is risk level II, which is medium risk. In this case, the spray and ventilation equipment will be activated, the belt speed will be reduced, and an early warning will be issued.

[0038] When R<10%, it is risk level III, which is low risk. The ventilation equipment will be turned on and the risk information will be pushed to the background terminal.

[0039] As a preferred solution of the coal yard safety equipment management method based on environmental monitoring described in the present invention, the automatic matching library based on risk levels generates a safety equipment action list, including:

[0040] In the matching library, rule entries are stored in the form of risk level → action sequence. Each rule includes trigger conditions, action queue, execution sequence and target effect.

[0041] The action queue format is <device ID, action type, target value, duration>;

[0042] When there are multiple rules that meet the same risk level, according to the priority coefficient Pij Weighted Residual Risk The smallest solution generates a corresponding action list;

[0043] Where, ΔR j is the risk reduction after executing the jth action.

[0044] As a preferred solution of the coal yard safety equipment management method based on environmental monitoring described in the present invention, the action list is subjected to conflict detection with the equipment maintenance work order and the energy scheduling plan. If a conflict exists, dynamic adjustments are made according to the principle of safety first, production guarantee, and energy saving optimization, including:

[0045] Compare each device action in the action list with the current maintenance isolation list. If the device is in maintenance isolation, skip the action and record the reason.

[0046] Call the energy dispatch plan and calculate the increment of power load caused by the action sequence If |ΔP| exceeds the upper limit of the load margin in the energy dispatch plan, the equipment action with the highest risk reduction efficiency will be retained first;

[0047] According to the principle of safety first - production guarantee - energy saving optimization, the remaining actions are reordered and the final execution instruction sequence is output;

[0048] in, is the power requirement of the kth device when it runs according to the new action, is the benchmark power of the kth device under the current working conditions.

[0049] As a preferred solution of the coal yard safety equipment management system based on environmental monitoring of the present invention, it includes: one or more processors;

[0050] A memory stores operable instructions, which, when executed by the one or more processors, enable the one or more processors to perform operations, including the process of the aforementioned coal yard safety equipment management method based on environmental monitoring.

[0051] As a preferred embodiment of a computer-readable medium for storing software described in the present invention, the software includes instructions that can be executed by one or more computers, and the instructions enable the one or more computers to perform operations through such execution, and the operations include the process of the aforementioned coal yard safety equipment management method based on environmental monitoring.

[0052] Beneficial effects of the present invention:

[0053] 1. By deploying multi-source sensor nodes in a grid-like manner inside and outside the coal yard, real-time environmental data and equipment operating status data are collected. This achieves comprehensive, multi-dimensional, and real-time perception of the coal yard's safety environment and equipment operating status, resolving the issues of delayed and inaccurate data from traditional manual inspections. This provides a rich and accurate data foundation for subsequent safety management and risk assessment, effectively improving the real-time and comprehensive nature of data acquisition.

[0054] 2. By synchronizing environmental data, equipment operating status data, and safety equipment control logs within 10 minutes before and after the end of the current sliding window using a unified time base, precise correlation between environmental parameters and equipment operating status data is achieved, ensuring temporal consistency and logical correlation between data from different sources. This addresses the problem of poor data correlation and difficulty in accurately identifying causal relationships caused by the lack of a unified base for traditional data collection. This provides accurate and effective data support for subsequent abnormal event analysis and improves the accuracy of correlation analysis between environmental data and equipment status data.

[0055] 3. By eliminating interference data generated during production stoppages for maintenance and planned operations, it effectively distinguishes actual safety risks from interference caused by planned events, avoiding false alarms and interference caused by normal maintenance, production stoppages or planned operations. This effectively solves the problems of high false alarm rates and inaccurate anomaly identification in traditional safety monitoring systems, thereby improving the accuracy of anomaly monitoring and marking, effectively reducing false alarm rates and enhancing the accuracy of risk assessment.

[0056] 4. By converting complex and abstract safety conditions into intuitive and quantitative risk indicators, the safety risk level of the coal yard can be accurately identified and quantitatively assessed. This effectively solves the problem of traditional subjective judgment of risk levels lacking objective basis, achieving the beneficial effects of objective, standardized and refined risk assessment.

[0057] 5. Automatically formulate corresponding security response measures based on specific risk levels, solving the problems of delayed response, strong reliance on experience, and lack of consistency in traditional security emergency measures. This allows for rapid and accurate implementation of security control actions, achieving the beneficial effects of automation, rapid response, and precise matching of control measures to risks.

[0058] 6. By performing conflict detection on the generated safety equipment action list with the equipment maintenance work order and energy scheduling plan, and dynamically adjusting it according to the principle of safety first - production guarantee - energy saving optimization, the coordination and unification of equipment control instructions with actual production conditions and energy scheduling are achieved, and the possible conflicts between safety management measures and production tasks and energy use are resolved, avoiding the problem of excessive impact on production progress or unreasonable energy use due to the implementation of safety measures, thereby achieving the optimal coordination of production and energy scheduling under the premise of ensuring safety, and ultimately achieving the beneficial effect of efficient coordination and optimization of safety management measures, production and energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0060] Figure 1 This is a flow chart of the coal yard safety equipment management method based on environmental monitoring shown in the present invention. DETAILED DESCRIPTION

[0061] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0062] Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without making any creative work should fall within the scope of protection of the present invention.

[0063] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0064] According to an embodiment of the present invention, Figure 1 The flowchart shown is a coal yard safety equipment management method based on environmental monitoring, which specifically includes the following steps:

[0065] S1. Deploy multi-source sensor nodes in a grid pattern inside and outside the coal yard to collect environmental data and equipment operating status data in real time. The following points need to be explained in this step:

[0066] A three-dimensional layered layout method is adopted, with at least one set of temperature-gas composite sensors deployed on the surface, middle and base of the coal pile;

[0067] The sensor nodes are evenly distributed in a 5m×5m grid in the plane direction and form a self-recovery topology through the ZigBee-Mesh wireless network;

[0068] A 360° rotating infrared thermal imager is installed above the coal yard to obtain the surface temperature distribution of the coal pile;

[0069] Connect all sensor nodes to the IEEE 1588 precision clock synchronization network to ensure that the data timestamp error is less than 1s;

[0070] Among them, the surface layer of the coal pile is ≤0.5m, the middle layer of the coal pile is 0.5m~2m, and the base of the coal pile is ≥2m.

[0071] As an example, the environmental data includes at least temperature, humidity, wind speed, wind direction, dust concentration, carbon monoxide concentration, methane gas concentration, and infrared thermal image grayscale matrix.

[0072] As an example, the equipment operating status data includes at least winch torque, sprinkler pump outlet pressure, ventilator speed, transmission belt linear speed, motor current and bearing temperature.

[0073] It should be noted that the equipment operation status data is obtained by collecting safety equipment, which at least includes a winch, a sprinkler device, a ventilator and a transmission belt machine. The equipment control commands of the safety equipment are issued through industrial Ethernet.

[0074] S2. Synchronize and align the environmental data, device operating status data, and security device control logs within 10 minutes before and after the end of the current sliding window using a unified time base to generate an environment-operation status-device correlation data set. Note that:

[0075] Define the environmental parameter set as E = {T, H, WS, WD, Dust, CO, CH4, IR};

[0076] Where T is temperature, H is humidity, WS is wind speed, WD is wind direction, Dust is dust concentration, CO is carbon monoxide concentration, CH4 is methane gas concentration, and IR is the infrared thermal image grayscale matrix;

[0077] Define the operating state parameter set as O = {Torque, P out ,n fan ,v belt ,I motor ,T bearing};

[0078] Among them, Torque is the output torque of the winch, P out is the outlet pressure of the sprinkler pump, n fan is the fan speed, v belt is the transmission belt linear speed, I motor is the driving motor current, T bearing is the bearing temperature;

[0079] Define a device control log set L, whose fields include device ID, action type, execution result and timestamp;

[0080] Each record is stored in the format of 〈E,O,L,t,ID〉, where t is the IEEE 1588 synchronization timestamp and ID is the device number.

[0081] S3. Based on the work plan of the production scheduling system and the maintenance management system, after eliminating the interference data caused by the shutdown maintenance and work plan, any data point in the associated data set that exceeds the preset safety threshold is marked as abnormal. Among them, it is necessary to explain the following in this step:

[0082] (1) Compare the thresholds of each type of real-time environmental parameters. i ≥θ×(1+α) and lasts for Δt i When , the data point is marked as abnormal;

[0083] Among them, x i is the real-time measurement value of the i-th environmental parameter, θ is the preset safety threshold, α is the margin coefficient, Δt i is the duration threshold (e.g. 60s, to filter out false alarms caused by transient data fluctuations);

[0084] (2) The following processing is performed on the infrared thermal image grayscale matrix IR to determine whether there is abnormal temperature clustering:

[0085] The target segmentation algorithm is used to segment the thermal image gray matrix IR and extract the gray information of the coal pile area.

[0086] Then, grayscale cluster analysis is performed on the grayscale information of the segmented coal pile to identify high-temperature areas;

[0087] If there are temperatures higher than T in n consecutive frames crit If the clustering occurs and the area accounts for ≥β%, the corresponding grid temperature will be considered abnormal;

[0088] Among them, T crit is the high temperature judgment threshold of thermal image (which can be determined according to the critical temperature of coal spontaneous combustion risk), β is the minimum ratio threshold of high temperature clusters occupying the entire frame area (e.g. 5%);

[0089] The above data points clearly marked as abnormal will be recorded and transmitted to the next step S4 for risk index calculation to achieve automated risk response and management of subsequent coal yard safety equipment.

[0090] It should be noted that the operation plan of the production scheduling system and maintenance management system in this embodiment includes the following contents:

[0091] Operation plans in the production scheduling system, including but not limited to coal pile turning operations, coal transfer operations, equipment shutdown and startup operations, and other planned tasks related to coal yard production operations;

[0092] The equipment maintenance work orders in the maintenance management system include but are not limited to routine equipment maintenance work orders, temporary maintenance work orders, equipment shutdown maintenance work orders, and other information related to equipment maintenance tasks.

[0093] Furthermore, the interference data caused by shutdown maintenance and operation plan specifically includes:

[0094] Abnormal fluctuations in coal yard environmental data caused by human factors during planned pile turning and transfer operations;

[0095] Abnormal data fluctuations caused by changes in the operating status of related equipment during overhaul or maintenance operations;

[0096] Other production and maintenance activities that are clearly recorded in the work plan and are expected to have an impact on environmental data and equipment status data.

[0097] In an optional embodiment, the method for removing interference data includes:

[0098] Compare and analyze the planned task time period provided by the job plan with the timestamps in the associated dataset;

[0099] If the timestamps of the environmental data and device status data recorded in the associated dataset fall within the time period of the above-mentioned planned task, it is determined that the data point may have been interfered with by human factors;

[0100] The associated data records that overlap with the planned task time period are automatically marked as interference data and removed from subsequent abnormal data detection and analysis.

[0101] S4. Calculate the risk index for the data marked as abnormal to obtain the risk index R. It should be noted that:

[0102] For example, the mathematical expression formula of the risk index R is as follows:

[0103]

[0104] Among them, x iis the real-time measurement value of the i-th environmental parameter, i is the environmental parameter category index, m is the total number of environmental parameter categories involved in risk calculation, θ is its preset safety threshold, and w i is the weight coefficient of the i-th type environmental parameter, satisfying

[0105] When R ≥ 30%, it is risk level I, which is high risk. The machine will be shut down immediately, the power supply to the area will be cut off, the spraying will be continued to cool down, and a 110dB alarm will be triggered.

[0106] When 10%≤R<30%, it is risk level II, which is medium risk. In this case, the spray and ventilation equipment will be activated, the belt speed will be reduced, and an early warning will be issued.

[0107] When R<10%, it is risk level III, which is low risk. The ventilation equipment will be turned on and the risk information will be pushed to the background terminal.

[0108] S5. Based on the risk level automatic matching library, a safety equipment action list is generated, including starting and stopping the sprinkler system, adjusting ventilation volume, speed limiting conveyor belts, regional power outages, and sound and light alarms. Among them, the following points need to be explained in this step:

[0109] (1) Build and maintain a risk level automatic matching library, which stores rule entries in the form of "risk level → action sequence". Each rule entry includes:

[0110] Trigger conditions: The risk level is determined by the risk index R, which is divided into Level I (high risk), Level II (medium risk) and Level III (low risk);

[0111] Action Queue: This specifies the specific actions that the corresponding security device needs to perform based on the risk level. The queue format is <device ID, action type, target value, duration>, where:

[0112] The device ID is used to identify a specific security device;

[0113] The action type is the action mode that the safety device needs to perform, such as "start and stop", "adjust speed", "adjust ventilation volume", "speed limit", "regional power off", and "start sound and light alarm";

[0114] The target value is the set value that should be reached after the equipment action is executed, such as the specific value of the belt speed, the pressure value of the sprinkler pump, and the speed of the ventilator;

[0115] Duration is the length of time the device needs to perform the action;

[0116] Execution sequence: the logical order and time sequence of execution between actions in the action queue;

[0117] Target effect: the safety risk reduction target or expected safety status expected to be achieved after the action is executed;

[0118] (2) Determine the risk level based on the risk index R value:

[0119] When the risk index R ≥ 30%, it is risk level I;

[0120] When the risk index is 10%≤R<30%, it is risk level II;

[0121] When the risk index R<10%, it is risk level III;

[0122] (3) According to the risk level determined above, all rule entries that meet the risk level are retrieved from the matching library:

[0123] If there is only one rule entry that meets the current risk level, the action queue corresponding to the entry is directly used;

[0124] If there are multiple rule items that meet the current risk level at the same time, calculate the weighted residual risk value R' of each rule item separately, and select the optimal action sequence based on the calculation results;

[0125] (4) When there are multiple rule entries that meet the same risk level, the specific process of executing the preferred solution is as follows:

[0126] Calculate the weighted residual risk value R' after each rule entry is executed:

[0127]

[0128] Among them, R' represents the weighted residual risk value after the rule is executed, P ij is the priority coefficient of the jth rule under the risk level, ΔR j It represents the risk reduction after executing the action sequence listed in the jth rule, that is, the difference in risk index before and after the rule execution;

[0129] It should be noted that the priority coefficient P ij Derived from historical risk data and risk control effectiveness evaluation data, determined through historical data analysis and safety management expert review;

[0130] Compare the R' values ​​of all rule entries and select the rule entry with the smallest R' value as the optimal solution for executing this security device action;

[0131] (5) Generate a final safety device action list based on the preferred rule items. The action list specifically includes:

[0132] The device ID of the device that performs the action;

[0133] The specific type of action that each device needs to perform, such as starting or stopping a sprinkler system, adjusting fan speed, limiting belt conveyor speed, partially shutting off power to a certain area, or activating a high-decibel alarm or warning light on site;

[0134] Specific target execution values ​​and setting conditions for each action, such as spray pressure, ventilation volume, and conveyor belt linear speed limit;

[0135] The precise duration for which each action should be performed;

[0136] The sequence of execution of each action and the specific execution relationship;

[0137] (6) Sending the generated safety device action list to the safety device execution control unit via industrial Ethernet in a unified data format, and requesting the device execution unit to return a confirmation signal of the action execution;

[0138] (7) Synchronize the action execution feedback results back to the safety management platform to form a closed-loop system for coal yard safety management.

[0139] S6. Conflict detection is performed on the action list, the equipment maintenance work order, and the energy scheduling plan. If a conflict exists, dynamic adjustments are made based on the principles of safety first, production guarantee, and energy-saving optimization. The following points should be noted in this step:

[0140] (1) Conflict detection, including:

[0141] Obtain a list of devices in the current maintenance and isolation state in the equipment maintenance management system. This list clearly lists all devices that are locked and isolated due to maintenance and repair;

[0142] Compare the device ID corresponding to each action record in the safety device action list with the maintenance isolation list one by one;

[0143] When a device ID is detected in both the action list and the maintenance isolation list, it indicates that the device is currently unable to perform the preset action, so the corresponding action of the device is skipped. The system automatically records the specific reason for skipping the action, that is, it records that the device is in maintenance isolation status and cannot be executed;

[0144] (2) Calling the energy dispatch plan to detect the power load increment, specifically including:

[0145] Obtain the upper limit P of the power load margin given in the current energy dispatching system of the coal yard max , as the current permissible limit on energy use;

[0146] Calculate the overall power load increment ΔP after the remaining action sequences in the action list are executed. The calculation formula is as follows:

[0147]

[0148] in, is the power requirement for the kth device to operate after the action sequence is executed, The baseline power of the kth device under the current working condition before the action sequence is executed;

[0149] If the calculated absolute value of the overall power load increment |ΔP| exceeds the load margin upper limit P given by the energy dispatch plan max , then all actions to be executed are sorted according to the risk reduction efficiency, and the equipment actions with the highest risk reduction efficiency are retained first, until the adjusted action sequence meets the load margin constraint of the energy scheduling plan;

[0150] (3) Dynamically adjust the action execution sequence according to the principle of "safety first - production guarantee - energy saving optimization", including:

[0151] Ensure safety first, that is, meet the minimum safety action requirements required by the current coal yard safety environment;

[0152] On the basis of meeting safety requirements, and according to the current production scheduling task arrangement and production guarantee needs, adjust the execution priority of the remaining actions in the action sequence to ensure the normal operation of production tasks;

[0153] On the basis of ensuring safety and smooth progress of production tasks, energy consumption optimization of action sequences is considered, and actions with high energy consumption are appropriately adjusted, delayed or their operating parameters are reduced to achieve energy-saving goals;

[0154] (4) After the above dynamic adjustment, the final output execution instruction sequence specifically includes:

[0155] The clear device ID of the device involved in each action;

[0156] The specific action type performed by each device (such as start and stop, speed adjustment, conveyor speed limit, regional power outage, alarm activation, etc.);

[0157] Specific target parameters for each action (such as specific set values ​​for sprinkler pressure, fan speed, belt speed, etc.);

[0158] The clear duration of each action;

[0159] The specific action execution sequence after comprehensive optimization of safety, production and energy saving;

[0160] Each action performs the necessary logical dependencies and timing arrangements;

[0161] (5) The optimized execution instruction sequence is sent to the coal yard field control unit via industrial Ethernet using a preset data communication protocol, and the equipment field control unit is required to return feedback information confirming the execution within a specified time to achieve closed-loop control of the safety action.

[0162] As an example, define the original safety device action list as shown in the following table:

[0163] Table 1. Original safety equipment action list

[0164]

[0165]

[0166] Maintenance isolation comparison: Equipment D03 is on the maintenance isolation list → Action A3 is skipped and the reason is recorded: "Conveyor belt 2# is under maintenance isolation";

[0167] Load increment calculation: Calculate the load increment of the remaining action sequence ΔP = 25.1kW, |ΔP| = 25.1kW>P max =15kW→energy load constraint optimization needs to be performed;

[0168] The optimal action under load constraints is obtained, as shown in the following table:

[0169] Table 2. Action optimization table under load constraints

[0170]

[0171] First retain the action with the highest unit risk reduction efficiency: D05→D01→D04;

[0172] Then calculate the cumulative load:

[0173] D05: ΔP = +0.1kW;

[0174] D01: ΔP = 15.1kW;

[0175] Close to P max , after adding D04, ΔP=13.1kW≤15kW;

[0176] Action D02 will cause ΔP to exceed the standard → execution will be suspended;

[0177] For example, the order is based on "safety first - production guarantee - energy saving optimization":

[0178] Safety required action: D05 (alarm) → D01 (sprinkler pump);

[0179] Coordinate with safety and reduce load: D04 (regional power outage);

[0180] Production guarantee action: D02 (ventilator speed control) is suspended and will be executed when the load allows;

[0181] The final execution instruction sequence is shown in the following table:

[0182] Table 3. Final execution instruction sequence table

[0183] Execution sequence number Device ID instruction Parameter / target value Duration 1 D05 Activate sound and light alarm 110dB 300s 2 D01 Start the sprinkler pump Pressure 3 bar 120s 3 D04 Regional power outages Opening 30s — D02 Speed-regulating fan 1800rpm 300s

[0184] The real-time load increment of execution sequence 1 to 3 is ΔP = 13.1kW, which satisfies P max ;

[0185] The system automatically records the reasons and timestamps for D03 skipping and D02 delay for audit tracing.

[0186] It should be noted that this step, through the above-mentioned conflict detection mechanism, energy load calculation method and comprehensive optimization adjustment rules, enables the present invention to achieve precise coordination between equipment safety actions and actual production operations and energy scheduling plans, and realize efficient and feasible coal yard safety management.

[0187] Preferably, the present invention realizes a complete set of intelligent and automated solutions for coal yard safety management from environmental data collection, risk identification and assessment to implementation of safety control measures and coordination of production energy through the above steps, effectively improving the real-time, accuracy, coordination and automation level of coal yard safety management.

[0188] The aforementioned method for synchronizing and aligning the environmental data, device operating status data, and control logs of the security device within 10 minutes before and after the end time of the current sliding window can be performed using methods and means in the existing technology and will not be repeated in this example.

[0189] In application of the above embodiments, other aspects disclosed in the embodiments of the present invention further propose a coal yard safety equipment management system based on environmental monitoring, including: one or more processors and a memory.

[0190] The memory is used to store operable instructions, which, when executed by the one or more processors, cause the one or more processors to perform operations, including the process of the coal yard safety equipment management method based on environmental monitoring of the aforementioned embodiment, especially Figure 1 The process of the method shown.

[0191] Other aspects disclosed in the embodiments of the present invention further provide a computer-readable medium storing software, wherein the software includes instructions that can be executed by one or more computers, and the execution of these instructions causes one or more computers to perform operations, including the process of the coal yard safety equipment management method based on environmental monitoring of the aforementioned embodiment, especially Figure 1 The process of the method shown.

[0192] It should be appreciated that embodiments of the present invention can be implemented or carried out by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory.

[0193] The method may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes a computer to operate in a specific and predefined manner.

[0194] Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with a computer system, however, the program can be implemented in assembly or machine language if desired.

[0195] In any case, the language may be a compiled or interpreted language.

[0196] Furthermore, the program can be run on an application specific integrated circuit programmed for this purpose.

[0197] The processes described herein (or variations and / or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) that collectively executes on one or more processors, by hardware, or a combination thereof. The computer program includes a plurality of instructions that can be executed by one or more processors.

[0198] Further, the method may be implemented in any type of computing platform operably connected to a suitable computer, including but not limited to a personal computer, a minicomputer, a mainframe, a workstation, a network or distributed computing environment, a separate or integrated computer platform, or in communication with a charged particle tool or other imaging device.

[0199] Aspects of the present invention may be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optical read and / or write storage media, RAM, ROM, etc., such that it can be read by a programmable computer and, when the storage medium or device is read by the computer, can be used to configure and operate the computer to perform the processes described herein.

[0200] Additionally, the machine-readable code, or portions thereof, can be transmitted over a wired or wireless network.

[0201] The invention described herein includes these and other various types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor.

[0202] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A coal yard safety equipment management method based on environmental monitoring, characterized in that: include: Multi-source sensor nodes are deployed in a grid pattern inside and outside the coal yard to collect environmental data and equipment operating status data in real time; Using a unified time base, synchronize and align environmental data, device operating status data, and security device control logs within 10 minutes before and after the end of the current sliding window to generate a correlated data set of environment, operating status, and device. According to the operation plan of the production scheduling system and the maintenance management system, after eliminating the interference data caused by the shutdown maintenance and operation plan, any data point in the associated data set that exceeds the preset safety threshold is marked as abnormal; Perform risk index calculation on the data marked as abnormal to obtain the risk index; Based on the risk level automatic matching library, a safety equipment action list is generated, including starting and stopping the sprinkler system, adjusting ventilation volume, speed limiting conveyor belts, regional power outages, and sound and light alarms; The action list is checked for conflicts with the equipment maintenance work order and the energy scheduling plan. If a conflict exists, it is dynamically adjusted according to the principle of safety first - production guarantee - energy saving optimization.

2. The method for managing coal yard safety equipment based on environmental monitoring according to claim 1, characterized in that: The multi-source sensor nodes are arranged in a grid pattern inside and outside the coal yard, including: A three-dimensional layered layout method is adopted, with at least one set of temperature-gas composite sensors deployed on the surface, middle and base of the coal pile; The sensor nodes are evenly distributed in a 5m×5m grid in the plane direction and form a self-recovery topology through the ZigBee-Mesh wireless network; A 360° rotating infrared thermal imager is installed above the coal yard to obtain the surface temperature distribution of the coal pile; Connect all sensor nodes to the IEEE 1588 precision clock synchronization network to ensure that the data timestamp error is less than 1s; Among them, the surface layer of the coal pile is ≤0.5m, the middle layer of the coal pile is 0.5m~2m, and the base of the coal pile is ≥2m.

3. The method for managing coal yard safety equipment based on environmental monitoring according to claim 1 or 2, characterized in that: The environmental data includes at least temperature, humidity, wind speed, wind direction, dust concentration, carbon monoxide concentration, methane gas concentration and infrared thermal image grayscale matrix; The equipment operation status data includes at least the winch torque, the sprinkler pump outlet pressure, the ventilator speed, the transmission belt linear speed, the motor current and the bearing temperature; The equipment operation status data is obtained by collecting safety equipment, and the safety equipment at least includes a winch, a sprinkler device, a ventilator and a transmission belt machine, wherein the equipment control command of the safety equipment is issued via industrial Ethernet.

4. The method for managing coal yard safety equipment based on environmental monitoring according to claim 1, characterized in that: The generation environment-operation status-device association data set includes: Define the environmental parameter set as E = {T, H, WS, WD, Dust, CO, CH4, IR}; Where T is temperature, H is humidity, WS is wind speed, WD is wind direction, Dust is dust concentration, CO is carbon monoxide concentration, CH4 is methane gas concentration, and IR is the infrared thermal image grayscale matrix; Define the operating state parameter set as O = {Torque, P out ,n fan ,v belt ,I motor ,T bearing }; Among them, Torque is the output torque of the winch, P out is the outlet pressure of the sprinkler pump, n fan is the fan speed, v belt is the transmission belt linear speed, I motor is the driving motor current, T bearing is the bearing temperature; Define a device control log set L, whose fields include device ID, action type, execution result and timestamp; Each record is stored in the format of 〈E,O,L,t,ID〉, where t is the IEEE 1588 synchronization timestamp and ID is the device number.

5. The method for managing coal yard safety equipment based on environmental monitoring according to claim 4 is characterized in that: Any data point in the associated data set that exceeds a preset safety threshold is marked as abnormal, including: When x i ≥θ×(1+α) and lasts for Δt i , the data point is marked as abnormal, where x i is the real-time measurement value of the i-th environmental parameter, θ is the preset safety threshold, α is the margin coefficient, Δt i is the duration threshold; Perform target segmentation and grayscale clustering on the infrared thermal image grayscale matrix IR. If there are consecutive n frames with temperatures higher than T crit If the clustering occurs and the area accounts for ≥β%, the corresponding grid temperature will be considered abnormal; Among them, T crit is the high temperature determination threshold of thermal image, and β is the minimum ratio threshold of high temperature clusters occupying the entire frame area.

6. The method for managing coal yard safety equipment based on environmental monitoring according to claim 5 is characterized in that: Perform risk index calculation on the data marked as abnormal to obtain the risk index R, including: Among them, x i is the real-time measurement value of the i-th environmental parameter, i is the environmental parameter category index, m is the total number of environmental parameter categories involved in risk calculation, θ is its preset safety threshold, and w i is the weight coefficient of the i-th type environmental parameter, satisfying When R ≥ 30%, it is risk level I, which is high risk. The machine will be shut down immediately, the power supply to the area will be cut off, the spraying will be continued to cool down, and a 110dB alarm will be triggered. When 10%≤R<30%, it is risk level II, which is medium risk. In this case, the spray and ventilation equipment will be activated, the belt speed will be reduced, and an early warning will be issued. When R<10%, it is risk level III, which is low risk. The ventilation equipment will be turned on and the risk information will be pushed to the background terminal.

7. The method for managing coal yard safety equipment based on environmental monitoring according to claim 6, characterized in that: The automatic matching library based on risk levels generates a safety device action list, including: In the matching library, rule entries are stored in the form of risk level → action sequence. Each rule includes trigger conditions, action queues, execution timing, and target effects. The action queue format is <device ID, action type, target value, duration>; When there are multiple rules that meet the same risk level, according to the priority coefficient P i Weighted Residual Risk The smallest solution generates a corresponding action list; Where, ΔR j is the risk reduction after executing the jth action.

8. The method for managing coal yard safety equipment based on environmental monitoring according to claim 7 is characterized in that: The action list is checked for conflicts with the equipment maintenance work order and energy scheduling plan. If a conflict exists, dynamic adjustments are made based on the principles of safety first, production guarantee, and energy-saving optimization, including: Compare each device action in the action list with the current maintenance isolation list. If the device is in maintenance isolation, skip the action and record the reason. Call the energy dispatch plan and calculate the increment of power load caused by the action sequence If |ΔP| exceeds the upper limit of the load margin in the energy dispatch plan, the equipment action with the highest risk reduction efficiency will be retained first; According to the principle of safety first, production guarantee and energy saving optimization, the remaining actions are reordered and the final execution instruction sequence is output; in, is the power requirement of the kth device when it runs according to the new action, is the benchmark power of the kth device under the current working conditions.

9. A coal yard safety equipment management system based on environmental monitoring, characterized in that: include: one or more processors; A memory storing operable instructions, wherein when the instructions are executed by the one or more processors, the one or more processors are caused to perform operations, wherein the operations include the process of the coal yard safety equipment management method based on environmental monitoring as described in any one of claims 1 to 8.

10. A computer-readable medium storing software, characterized in that: The software includes instructions that can be executed by one or more computers, and the instructions enable the one or more computers to perform operations through such execution, and the operations include the process of the coal yard safety equipment management method based on environmental monitoring as described in any one of claims 1 to 8.

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