Blasting operation remote monitoring and management method and system

Abstract

The invention discloses a blasting operation remote monitoring and management method and system, and relates to the technical field of blasting operation management. According to blasting parameters and geological conditions, multiple types of sensing nodes are arranged, and the sensing nodes are preset to collect vibration intensity, shock wave peak values and environment gas concentration data; when the second monitoring node monitors that the vibration acceleration exceeds the limit, the second monitoring node is marked as an abnormal node and triggers the emergency sampling frequency, and the second monitoring node is defined as a node identifying the potential safety hazard feature in the monitoring network based on the space distance between the abnormal node and the first monitoring node. According to the invention, by adjusting the monitoring frequency of the monitoring node, when the abnormal data is monitored, the monitoring frequencies of other monitoring nodes are changed, and frequency band complementation is formed between the monitoring nodes which monitor the abnormal data, so that the continuity and integrity of the monitoring data can still be ensured when the abnormal state suddenly occurs.

Description

Technical Field

[0001] The present invention relates to the technical field of blasting operation management, and in particular to a blasting operation remote monitoring and management method and system. Background Art

[0002] During blasting operations, various parameters at the blasting site must be monitored in real time. By strategically placing sensors around the blasting area, the entire blasting process can be monitored to ensure proper operator operation and the safety of the surrounding environment.

[0003] After searching, the Chinese invention patent with publication number "CN104460610A" discloses "A remote monitoring and management system for hospital infection control equipment and a monitoring and management method." This application uses a front-end device to monitor the operating data of hospital infection control equipment and the data on the completion of hospital infection control equipment. This solves the problem that the operating status and completion status of existing hospital infection control equipment must be obtained through manual data collection, thereby saving the company's resource costs, reducing monitoring time, and improving monitoring efficiency. In addition, the Chinese invention patent with publication number "CN116165939A" discloses "a remote monitoring system and method for environmental protection equipment based on big data". This application realizes remote monitoring of environmental protection equipment by real-time monitoring of the dust concentration of the dust removal equipment before and after dust removal corresponding to each node, and transmits the monitoring data to the remote monitoring terminal. The historical dust removal data of the dust removal equipment is collected through big data technology, and the dust removal capabilities of different dust removal equipment are analyzed based on the historical dust removal data. The greater the concentration difference before and after dust removal, the stronger the dust removal capability is judged. Dust removal equipment with similar capabilities are classified into one category, providing a basis for judging equipment abnormalities and improving the accuracy of abnormality judgment results.

[0004] However, in actual use, the two patents disclosed above and similar existing blasting monitoring patents may have incomplete and inaccurate monitoring data due to the distribution of monitoring nodes and communication conditions being affected by factors such as terrain and signals. When a sudden abnormal state is monitored, it is impossible to ensure that the affected locations of blasting operations in other locations can be monitored in the first time. Therefore, it is necessary to dynamically adjust and optimize the monitoring frequency, range and communication data. Summary of the Invention

[0005] The object of the present invention is to provide a remote monitoring and management method and system for blasting operations to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions: First, a remote monitoring and management method for blasting operations is proposed, including: Deploy multiple types of sensor nodes based on blasting parameters and geological conditions. The sensor nodes are preset to collect vibration intensity, shock wave peak value, and ambient gas concentration data. When the second monitoring node detects that the vibration acceleration exceeds the limit, it marks it as an abnormal node and triggers the emergency sampling frequency. The second monitoring node is defined as a node in the monitoring network that identifies the characteristics of safety hazards; Calculating a first adjustment coefficient related to the generated distance based on a spatial distance between the abnormal node and a first monitoring node, wherein the first monitoring node refers to any designated node in the monitoring network; The current monitoring frequency of the first monitoring node is calculated and determined by the first adjustment coefficient and the historical monitoring frequency of the first monitoring node. The current monitoring frequency of the first monitoring node and the abnormal monitoring frequency of the second monitoring node form time domain complementary monitoring.

[0007] As a further preferred embodiment of the present technical solution, a historical safety monitoring range parameter of the first monitoring node is determined; Collecting abnormal impact range data of the second monitoring node; Calculating a second adjustment coefficient based on the spatial spacing parameter; The historical monitoring range is dynamically corrected based on the second adjustment coefficient, and the current monitoring frequency of the first monitoring node is generated. The current monitoring range of the first monitoring node and the abnormality detection range of the second monitoring node are spatially associated, and the two form a complementary relationship in terms of spatial coverage.

[0008] As a further preferred embodiment of the present technical solution, a communication network site is constructed, and the communication network site is used to transmit communication data between each monitoring node; Obtaining historical communication data of the first monitoring node; Obtaining current abnormal communication data of the second monitoring node; Calculating a third adjustment coefficient based on the spatial distance, the third adjustment coefficient dynamically allocating the current communication bandwidth of the first monitoring node; Based on the third adjustment coefficient and historical communication data, current communication data of the first monitoring node is obtained, the current communication data of the first monitoring node is used to cover the current abnormal communication data of the second monitoring node, and the second monitoring node operates based on the operation of the first monitoring node.

[0009] As a further preferred embodiment of the present technical solution, a method for obtaining a current monitoring frequency of the first monitoring node based on the first adjustment coefficient and the historical monitoring frequency includes: Determine the range of spatial spacing, which is the spacing between the first and last monitoring nodes in the monitoring node array, or the relative spacing between the images of the monitoring nodes at the same spatial coordinates; When the value range is not 0, the first adjustment coefficient is used to change the frequency of the current monitoring frequency of the first monitoring node. When the value range is 0, the historical monitoring frequency of the first monitoring node is equal to the current monitoring frequency of the first monitoring node.

[0010] As a further preferred embodiment of the present technical solution, a method for obtaining a current monitoring range of the first monitoring node based on the second adjustment coefficient and the historical monitoring range includes: Establish association and merging rules based on the type of monitoring node detection range; According to the association merging rule, the historical monitoring range of the first monitoring node and the historical monitoring range of the second monitoring node are superimposed, and the current monitoring of the first monitoring node is determined.

[0011] As a further preferred embodiment of the present technical solution, a method for obtaining current communication data of the first monitoring node based on the third adjustment coefficient and historical communication data includes: Set the communication volume threshold based on the communication volume of historical communication data; When the communication volume of the historical communication data is greater than the communication volume threshold, the third adjustment coefficient performs weighted adjustment on the historical communication data to determine the current communication data of the first monitoring node; When the communication volume of the historical communication data is less than or equal to the communication volume threshold, the historical communication data is directly used as the current communication data of the first monitoring node to ensure stable transmission of the communication data and effective coverage of abnormal data.

[0012] To improve the above technical solution, the present invention also proposes a remote monitoring and management system for blasting operations, which uses the above-mentioned remote monitoring and management method for blasting operations and includes: Sensor node deployment module, used to deploy multiple types of sensor nodes based on blasting parameters and geological conditions; Anomaly detection and marking module, used to identify security risks and mark abnormal nodes in real time; A frequency coordination control module is configured to establish a bidirectional communication link between the first monitoring node and the second monitoring node to optimize the monitoring frequency based on the spatial relationship between the abnormal node and the first monitoring node; A monitoring range coordination module, configured to adjust the current monitoring range of the first monitoring node based on the spatial distance between the first monitoring node and the second monitoring node and their respective historical monitoring ranges, so that the current monitoring range of the first monitoring node and the anomaly detection range of the second monitoring node achieve complementary coverage; The communication bandwidth collaboration module is used to calculate the third adjustment coefficient based on the spatial distance between the first monitoring node and the second monitoring node, thereby dynamically allocating the current communication bandwidth of the first monitoring node so that the current communication data of the first monitoring node can effectively cover the current abnormal communication data of the second monitoring node.

[0013] Compared with the prior art, the present invention has the following beneficial effects: This remote monitoring and management method for blasting operations adjusts the monitoring frequency of a monitoring node so that when abnormal data is detected, the monitoring frequency of other monitoring nodes is changed, and a complementary frequency band is formed between the monitoring node that detected the abnormal data. This ensures the continuity and integrity of the monitoring data even in the event of a sudden abnormal state. In addition, by adjusting the monitoring range of the monitoring node, overlap and omission of the monitoring range can be effectively avoided, and the monitoring efficiency can be improved. At the same time, by combining historical communication data and current communication data, the communication data of the monitoring node can be dynamically adjusted to ensure the stability and real-time performance of data transmission, making the acquisition of communication data more accurate, avoiding data errors caused by communication interference or equipment failure, and ensuring the stable operation of the remote monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A diagram showing the steps of the method disclosed in the present invention; Figure 2 This is a composition diagram of the system disclosed in the present invention. DETAILED DESCRIPTION

[0015] The following will provide a clear and complete description of 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. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0016] Before understanding the technical solutions proposed in this invention, it's important to understand that traditional remote monitoring and correlation methods for blasting operations often lack the flexibility to adjust monitoring parameters based on actual blasting conditions and geological conditions, compromising the accuracy and integrity of monitoring data. This inability to promptly and effectively adjust other monitoring nodes in the face of unexpected safety hazards makes it difficult for the entire monitoring system to consistently and stably acquire critical data under abnormal circumstances.

[0017] As a preferred embodiment, Figure 1 It can be seen that the method provided in this embodiment includes: step S100 to step S400.

[0018] Step S100: deploying multiple types of sensor nodes according to blasting parameters and geological conditions.

[0019] Specifically, in the present invention, the monitoring node is a sensor in the prior art, which is used to obtain blasting parameter data. In addition, it should be noted that in the present invention, blasting parameters and geological conditions are blasting operation data, wherein the blasting parameters include: collecting vibration intensity, shock wave peak value and ambient gas concentration data. It should also be added that when the invention is implemented, the acquisition of vibration intensity, shock wave peak value and ambient gas concentration data is achieved through sensors. These sensors are reasonably distributed around the blasting area to ensure that various data can be accurately collected. Different types of sensors monitor different parameters. For example, vibration sensors are specifically responsible for collecting vibration intensity, shock wave sensors focus on obtaining shock wave peak value, and gas sensors monitor ambient gas concentration in real time. Through the layout of multiple types of sensor nodes, data during the blasting operation can be comprehensively and accurately acquired, providing a solid data foundation for subsequent analysis and decision-making.

[0020] It is worth noting that during actual operation, these sensor nodes need to be inspected and maintained regularly to ensure that they are always in good working condition and to avoid deviations or interruptions in data collection due to equipment failure.

[0021] Step S200: When the second monitoring node detects that the vibration acceleration exceeds the limit, it is marked as an abnormal node and the emergency sampling frequency is triggered.

[0022] Specifically, the second monitoring node is defined as a node in the monitoring network that identifies safety hazard characteristics. It should be noted that the safety hazard characteristics mean that once the vibration acceleration exceeds the preset safety range (manually set during blasting operations), it means that there may be potential risks in the blasting operation, and the node will be marked as an abnormal node.

[0023] Step S300: Calculate and generate a first distance-related adjustment coefficient based on the spatial distance between the abnormal node and the first monitoring node.

[0024] Specifically, in step S300, the first monitoring node refers to any designated node in the monitoring network.

[0025] It is worth noting that spatial spacing is used to determine the position of the target object. Its main logic is to measure the distance between the target object and the reference point. For example, the spatial spacing between the abnormal node and the first monitoring node is determined by the existing ultrasonic ranging technology. This spatial spacing is an important basis for evaluating the relationship between the two.

[0026] As a preferred implementation, it should be noted that, in step S300, the first adjustment coefficient is used to adjust the current monitoring frequency of the first monitoring node.

[0027] Specifically, in the present invention, the first adjustment coefficient is k1(d), where k1(d) changes linearly with the increase of distance d, but is limited by the minimum and maximum values ​​of d. It should be added that the formula of k1(d) is: , where α and β are the slope and intercept of the adjustment coefficient function, K1min and k1max are the minimum and maximum values ​​of k1(d), which are used to limit the range of change of the monitoring frequency.

[0028] It should be further added that when the formula of k1(d) is applied to the scenario proposed in this invention, the values ​​of α and β are 0.1 and 1 respectively, and K 1min and k 1max The values ​​obtained are 0.5 and 2.

[0029] Step S400: Based on the first adjustment coefficient and the historical monitoring frequency, the current monitoring frequency of the first monitoring node is obtained.

[0030] It should be noted that in the present invention, the current monitoring frequency of the first monitoring node is used to complement the current abnormal monitoring frequency of the second monitoring node based on the time period. It is worth noting that the method for calculating and determining the current monitoring frequency of the first monitoring node through the first adjustment coefficient and the historical monitoring frequency of the first monitoring node includes steps S410-S420.

[0031] Step S410: Obtain the value range of the spatial spacing.

[0032] It should be noted that, in this step, the spatial spacing can range from the distance between the first monitoring node and the last monitoring node among multiple monitoring nodes, or the distance between two monitoring nodes at the same position among multiple monitoring nodes.

[0033] Step S420: Adjust the first adjustment coefficient based on the value range of the spatial spacing.

[0034] Specifically, when the value range is not 0, the first adjustment coefficient is used to change the frequency of the current monitoring frequency of the first monitoring node. In this case, the current monitoring frequency of the first monitoring node is obtained by the formula: ; Where fhist is used to represent the historical monitoring frequency of the first monitoring node; Where d is used to represent the spatial spacing; Where k1(d) is the first adjustment coefficient; fcurr is used to represent the current monitoring frequency of the first monitoring node.

[0035] As a preferred embodiment, this embodiment is used to explain the acquisition formula disclosed in step S420.

[0036] Specifically, in actual operation, set fhist to 10 times / hour, and let d be 5. At this time, k(5)=min(max(1.5,0.5),2)=1.5, fcurr=fhist×k(5)=10×1.5=15 times / hour. At this time, it is known that the current monitoring frequency of the first monitoring node is 15 times / hour, and the current monitoring frequency of the second monitoring node is 10 times / hour.

[0037] It should be noted that the method proposed in this embodiment can more effectively deal with abnormal situations in blasting operations by adjusting the monitoring frequency of the monitoring nodes, improve monitoring efficiency and accuracy, and reduce resource waste.

[0038] Before understanding the technical solution proposed in this implementation plan, it is necessary to know that since the monitoring nodes monitor the blasting operations, the coverage of the blasting operations is generally wide, and the monitoring nodes are limited in their actual operation. In addition, investing a large number of monitoring nodes in blasting operations will lead to serious waste of resources. Therefore, it is necessary to design a remote monitoring and management method for blasting operations that dynamically adjusts the coverage when the monitoring nodes are monitoring.

[0039] As a preferred embodiment, the method provided in this embodiment includes: Step B100 to Step B400.

[0040] Step B100: Determine the historical safety monitoring range parameters of the first monitoring node.

[0041] Specifically, the first monitoring node is any one of the multiple monitoring nodes.

[0042] Step B200: Collect abnormal impact range data of the second monitoring node.

[0043] Specifically, the second monitoring node is any one of the multiple monitoring nodes that obtains abnormal impact range data, wherein the abnormal impact range data specifically includes the vibration impact range, shock wave impact range, and harmful gas diffusion range that exceed the safety monitoring range parameters.

[0044] Step B300: Calculate a second adjustment coefficient according to the spatial spacing parameter.

[0045] Specifically, the spatial spacing mentioned in step B300 can only be a positive value. It should be further explained that when the monitoring range is a negative value or 0 during actual operation, it indicates that the monitoring ranges between the first monitoring node and the second monitoring node overlap.

[0046] Step B400: Dynamically correct the historical monitoring range based on the second adjustment coefficient, and form a spatial association between the current monitoring frequency of the first monitoring node, the current monitoring range of the first monitoring node and the abnormality detection range of the second monitoring node, so that the two form a complementary relationship in terms of spatial coverage.

[0047] Specifically, the method for obtaining the current monitoring range of the first monitoring node based on the second adjustment coefficient and the historical monitoring range in step B400 includes: establishing an association merging rule based on the type of the detection range of the monitoring node, superimposing the historical monitoring range of the first monitoring node and the historical monitoring range of the second monitoring node based on the association merging rule, and determining the current monitoring of the first monitoring node.

[0048] The specific manifestation of the association merge rule is that when the monitoring range of the monitoring node is a circular area, the association merge rule performs a merge operation. The contents of the merge operation at this time include: Determine the center distance of the two circular areas, and calculate the radius and center position of the merged new circular area based on the center distance and the radius of the two circular areas through a specific geometric algorithm to form the new current monitoring range of the first monitoring node.

[0049] When the monitoring range of a monitoring node is a rectangular area, the associated merging rule performs a splicing operation, analyzes the relative position relationship between the two rectangular areas, such as up and down, left and right, and inclusion, adopts the corresponding splicing strategy according to different situations, and redefines the side length and vertex coordinates of the rectangular area to determine the current monitoring range of the first monitoring node.

[0050] It should be noted that, through such association merging rules, the current monitoring range of the first monitoring node can effectively form spatial association and complementarity with the abnormality detection range of the second monitoring node, thereby optimizing the coverage and monitoring effect of the entire monitoring system.

[0051] As a preferred implementation scheme, before understanding the technical solution proposed in this implementation scheme, it should be noted that when the monitoring node monitors the blasting operation and obtains the blasting operation data, the coverage range of the blasting operation is generally wider, and when the monitoring node is actually running, the communication distance between each monitoring node and the communication network site is limited. Therefore, in the actual monitoring process, multiple monitoring nodes are required to work together to ensure coverage of the entire monitoring area. In order to improve monitoring efficiency and accuracy, the monitoring range between monitoring nodes needs to be reasonably adjusted and optimized.

[0052] As a preferred implementation scheme, the method proposed in this embodiment includes: steps D100-D500.

[0053] Step D100: Construct a communication network site.

[0054] It should be noted that the communication network station is used to transmit communication data between each monitoring node, and the communication network station is a signal receiver in the prior art in step D100.

[0055] Step D200: Acquire historical communication data of the first monitoring node.

[0056] It should be noted that step D200 is used to obtain the historical communication data of the first monitoring node, which includes historical monitoring range, communication frequency and data transmission volume information. The acquisition of historical communication data can be achieved through the built-in storage device of the monitoring node or through real-time data synchronization with the communication network site.

[0057] Step D300: Acquire current abnormal communication data of the second monitoring node.

[0058] It should be noted that step D300 is used to obtain the current abnormal communication data of the second monitoring node. The abnormal communication data includes communication interruption, abnormal increase in data transmission error rate or other communication abnormalities. By monitoring these data in real time, problems in the communication network can be discovered and handled to ensure stable and reliable data transmission between monitoring nodes.

[0059] Step D400: Obtain a third adjustment coefficient based on the spatial distance.

[0060] It should be noted that the value of the spatial spacing can only be positive, and in step D400, the third adjustment coefficient dynamically allocates the current communication bandwidth of the first monitoring node. It should be added that the method of allocating communication bandwidth is implemented through the bandwidth allocation algorithm in the prior art. Specifically, the allocated bandwidth = (base bandwidth × adjustment coefficient) dynamically calculates the actual allocated value. It is worth noting that the bandwidth allocation algorithm analyzes the size of the spatial spacing and the historical communication data of the first monitoring node and the current abnormal communication data of the second monitoring node to allocate communication bandwidth more reasonably and effectively, avoiding problems such as poor communication or unstable data transmission caused by unreasonable communication bandwidth allocation, thereby further ensuring the efficiency and stability of communication between monitoring nodes in the entire blasting operation remote monitoring and management system.

[0061] Specifically, it is reflected in step D500.

[0062] Step D500: Based on the third adjustment coefficient and historical communication data, obtain the current communication data of the first monitoring node, the current communication data of the first monitoring node is used to cover the current abnormal communication data of the second monitoring node, and the second monitoring node operates based on the operation of the first monitoring node.

[0063] It should be noted that the method for obtaining the current communication data of the first monitoring node based on the third adjustment coefficient and the historical communication data in step D500 includes: steps D510 to D530.

[0064] Step D510: Set a communication volume threshold based on the communication volume of historical communication data.

[0065] Specifically, the communication volume threshold is the median of the communication volume in the historical communication data. When the historical communication data volume of the first monitoring node is greater than the threshold, it is considered that the communication is busy.

[0066] Step D520: When the communication volume of the historical communication data is greater than the communication volume threshold, the third adjustment coefficient performs weighted adjustment on the historical communication data to determine the current communication data of the first monitoring node.

[0067] Specifically, a weighted calculation method is adopted, that is, current communication data = historical communication data × the third adjustment coefficient. It should be noted at this time that by reasonably adjusting the current communication data according to the busyness of the historical communication data, the acquired data is more in line with the actual communication situation. When the communication is busy, the weighting of the third adjustment coefficient can highlight the characteristics of the communication data, providing more accurate data support for subsequent operations such as the communication status evaluation of the first monitoring node.

[0068] Step D530: When the communication volume of the historical communication data is less than or equal to the communication volume threshold, the historical communication data is directly used as the current communication data of the first monitoring node to ensure stable transmission of the communication data and effective coverage of abnormal data.

[0069] In addition, it should be noted that when the above-mentioned solutions are actually operated, the three solutions can cooperate with each other to form a complete remote monitoring and management system for blasting operations. The first implementation plan mainly focuses on adjusting the monitoring range of monitoring nodes to avoid overlap and improve monitoring efficiency. The second implementation plan focuses on the construction of communication network sites and the optimization of communication data between monitoring nodes. The third implementation plan focuses on handling communication anomalies between monitoring nodes to ensure the stability and reliability of data transmission.

[0070] In practical applications, the monitoring range adjustment of the monitoring nodes in the first implementation scheme can be combined with the construction of the communication network sites in the third implementation scheme. By optimizing the monitoring range of the monitoring nodes and reducing the load of the communication network sites, the operating efficiency of the entire system can be improved. At the same time, the historical communication data acquisition and current abnormal communication data processing in the second implementation scheme can provide important data support for the first and third implementation schemes, ensuring that the monitoring range of the monitoring nodes and the communication data adjustment are more accurate and efficient.

[0071] To further improve the first, second and third embodiments, the present invention also proposes a remote monitoring and management system for blasting operations, referring to Figure 2 It can be seen that the system includes: a sensor node deployment module, which is used to deploy multiple types of sensor nodes according to blasting parameters and geological conditions; an anomaly detection and marking module, which is used to identify safety hazards in real time and mark abnormal nodes; a frequency collaborative control module, which is used to establish a two-way communication link between the first monitoring node and the second monitoring node to optimize the monitoring frequency based on the spatial relationship between the abnormal node and the first monitoring node; a monitoring range collaborative module, which is used to adjust the current monitoring range of the first monitoring node according to the spatial distance between the first monitoring node and the second monitoring node and their respective historical monitoring ranges, so that the current monitoring range of the first monitoring node and the anomaly detection range of the second monitoring node achieve complementary coverage; a communication bandwidth collaborative module, which is used to calculate the third adjustment coefficient according to the spatial distance between the first monitoring node and the second monitoring node, thereby dynamically allocating the current communication bandwidth of the first monitoring node, so that the current communication data of the first monitoring node can effectively cover the current abnormal communication data of the second monitoring node.

[0072] It should be noted that when the system is running, the sensor node deployment module first completes the deployment of multiple types of sensor nodes based on blasting parameters and geological conditions, laying the foundation for subsequent monitoring work. Then, the anomaly detection and marking module begins real-time monitoring, identifies various safety hazards, and promptly marks abnormal nodes for subsequent focus and processing. Next, the frequency coordination control module plays a role, prompting the first monitoring node and the second monitoring node to successfully establish a two-way communication link. Based on the spatial relationship between the abnormal node and the first monitoring node, the monitoring frequency is flexibly and reasonably optimized to improve monitoring efficiency. At the same time, the monitoring range coordination module adjusts the current monitoring range of the first monitoring node according to the spatial distance between the first and second monitoring nodes and their respective historical monitoring ranges, ensuring that the current monitoring range of the first monitoring node and the anomaly detection range of the second monitoring node perfectly achieve complementary coverage, leaving no monitoring blind spots. The communication bandwidth coordination module simultaneously calculates the third adjustment coefficient based on the spatial distance between the first and second monitoring nodes, and allocates the current communication bandwidth of the first monitoring node to ensure that the current communication data of the first monitoring node can effectively cover the current abnormal communication data of the second monitoring node, providing a guarantee for the stable and efficient operation of the system.

[0073] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is limited by the accompanying embodiments and their equivalents.

Claims

1. A remote monitoring and management method for blasting operations, characterized in that: include: Deploy multiple types of sensor nodes based on blasting parameters and geological conditions. The sensor nodes are preset to collect vibration intensity, shock wave peak value, and ambient gas concentration data. When the second monitoring node detects that the vibration acceleration exceeds the limit, it marks it as an abnormal node and triggers the emergency sampling frequency. The second monitoring node is defined as a node in the monitoring network that identifies the characteristics of safety hazards; Calculating a first adjustment coefficient related to the generated distance based on a spatial distance between the abnormal node and a first monitoring node, wherein the first monitoring node refers to any designated node in the monitoring network; The current monitoring frequency of the first monitoring node is calculated and determined by the first adjustment coefficient and the historical monitoring frequency of the first monitoring node. The current monitoring frequency of the first monitoring node and the abnormal monitoring frequency of the second monitoring node form time domain complementary monitoring.

2. A method for remote monitoring and management of blasting operations according to claim 1, characterized in that: Determining historical safety monitoring range parameters of the first monitoring node; Collecting abnormal impact range data of the second monitoring node; Calculating a second adjustment coefficient based on the spatial spacing parameter; The historical monitoring range is dynamically corrected based on the second adjustment coefficient, and the current monitoring frequency of the first monitoring node is generated. The current monitoring range of the first monitoring node and the abnormality detection range of the second monitoring node are spatially associated, and the two form a complementary relationship in terms of spatial coverage.

3. The remote monitoring and management method for blasting operations according to claim 1, characterized in that: Building a communication network site, the communication network site is used to transmit communication data between each monitoring node; Obtaining historical communication data of the first monitoring node; Obtaining current abnormal communication data of the second monitoring node; Calculating a third adjustment coefficient based on the spatial distance, the third adjustment coefficient dynamically allocating the current communication bandwidth of the first monitoring node; Based on the third adjustment coefficient and historical communication data, current communication data of the first monitoring node is obtained, the current communication data of the first monitoring node is used to cover the current abnormal communication data of the second monitoring node, and the second monitoring node operates based on the operation of the first monitoring node.

4. A remote monitoring and management method for blasting operations according to claim 1, characterized in that: The method for obtaining the current monitoring frequency of the first monitoring node based on the first adjustment coefficient and the historical monitoring frequency includes: Determine the range of spatial spacing, which is the spacing between the first and last monitoring nodes in the monitoring node array, or the relative spacing between the images of the monitoring nodes at the same spatial coordinates; When the value range is not 0, the first adjustment coefficient is used to change the frequency of the current monitoring frequency of the first monitoring node. When the value range is 0, the historical monitoring frequency of the first monitoring node is equal to the current monitoring frequency of the first monitoring node.

5. The remote monitoring and management method for blasting operations according to claim 2, characterized in that: The method for obtaining the current monitoring range of the first monitoring node based on the second adjustment coefficient and the historical monitoring range includes: Establish association and merging rules based on the type of monitoring node detection range; According to the association merging rule, the historical monitoring range of the first monitoring node and the historical monitoring range of the second monitoring node are superimposed, and the current monitoring of the first monitoring node is determined.

6. A method for remote monitoring and management of blasting operations according to claim 3, characterized in that: The method for obtaining current communication data of the first monitoring node based on the third adjustment coefficient and the historical communication data includes: Set the communication volume threshold based on the communication volume of historical communication data; When the communication volume of the historical communication data is greater than the communication volume threshold, the third adjustment coefficient performs weighted adjustment on the historical communication data to determine the current communication data of the first monitoring node; When the communication volume of the historical communication data is less than or equal to the communication volume threshold, the historical communication data is directly used as the current communication data of the first monitoring node to ensure stable transmission of the communication data and effective coverage of abnormal data.

7. A blasting operation remote monitoring and management system, using a blasting operation remote monitoring and management method according to any one of claims 1 to 6, characterized in that: include: Sensor node deployment module, used to deploy multiple types of sensor nodes based on blasting parameters and geological conditions; Anomaly detection and marking module, used to identify security risks and mark abnormal nodes in real time; A frequency coordination control module is configured to establish a bidirectional communication link between the first monitoring node and the second monitoring node to optimize the monitoring frequency based on the spatial relationship between the abnormal node and the first monitoring node; A monitoring range coordination module, configured to adjust the current monitoring range of the first monitoring node based on the spatial distance between the first monitoring node and the second monitoring node and their respective historical monitoring ranges, so that the current monitoring range of the first monitoring node and the anomaly detection range of the second monitoring node achieve complementary coverage; The communication bandwidth collaboration module is used to calculate the third adjustment coefficient based on the spatial distance between the first monitoring node and the second monitoring node, thereby dynamically allocating the current communication bandwidth of the first monitoring node so that the current communication data of the first monitoring node can effectively cover the current abnormal communication data of the second monitoring node.

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