A digital delivery analysis and management system for coal construction projects

Abstract

The present invention relates to the technical field of digital delivery of coal construction projects, and specifically discloses a digital delivery analysis and management system for coal construction projects, the system comprising: a mine area division module, a mine explosion-proof monitoring and analysis module, a cloud database, a mine fire prevention monitoring and analysis module and a mine safety delivery analysis module; the present invention constructs a three-dimensional information model of a target mine, and analyzes the explosion-proof performance evaluation index of the target mine and the working accuracy of the fire prevention equipment, so as to judge whether the target mine can be delivered, effectively solving the limitation problems existing in the current delivery safety test at the two levels of explosion-proof and fire prevention, ensuring the safety of construction personnel, reducing the possibility of accidents, ensuring the safe operation of coal construction projects, and at the same time providing a clear direction for the adjustment and improvement of subsequent mine mining projects, and improving the mining efficiency and mining quality of mine mining projects.

Description

Technical Field

[0001] The present invention relates to the technical field of digital delivery of coal construction projects, and in particular to a digital delivery analysis and management system for coal construction projects. Background Art

[0002] With the continuous development of technology, the application of digital delivery in coal construction projects has become increasingly important and has become an important trend in the development of the industry. Mine mining is an important part of coal construction projects. In order to ensure construction safety during mine mining, reduce accident risks, and protect the safety of personnel and assets, it is necessary to test the safety of mine mining projects during delivery.

[0003] The existing safety tests for mine mining projects at the time of delivery are mainly carried out through the two levels of explosion-proof and fire-proof. Obviously, there are still the following problems in the safety tests at the two levels: 1. At the explosion-proof test level, the position offset of the monitoring points in the monitoring sub-area of ​​the target mine is not taken into account, which makes the explosion-proof performance evaluation results of the target mine have large differences, further reducing the explosion-proof safety intelligent monitoring effect of the target mine, making it impossible to accurately understand the explosion-proof safety status of the target mine, thereby causing potential safety risks to the work of the mine mining personnel and affecting the overall mining construction progress of the mine.

[0004] 2. At the fire protection test level, only whether the working response of the fire protection equipment is normal is judged, and the timeliness of its working response and the accuracy of its working time are not considered. As a result, the timeliness of the working response and the accuracy of the working time of the fire protection equipment cannot be guaranteed, which makes the final analysis results have defects such as low accuracy and poor rationality, reducing the operational reliability of the fire protection equipment. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a digital delivery analysis and management system for coal construction projects is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a digital delivery analysis and management system for coal construction projects, including: a mine area division module, which is used to divide the target mine into monitoring sub-areas according to a preset length, and construct a three-dimensional information model of the target mine, thereby obtaining a three-dimensional information model corresponding to each monitoring sub-area.

[0007] The mine explosion-proof monitoring and analysis module is used to perform blasting tests in the coal blasting areas corresponding to each monitoring sub-area according to the three-dimensional information model corresponding to each monitoring sub-area, and monitor the explosion-proof status index information corresponding to each monitoring sub-area, so as to analyze the position deviation index χ corresponding to each monitoring sub-area. i and regional status assessment index δi , and then analyze the explosion-proof performance evaluation index of the target mine Here, i represents the number of the monitoring sub-area, i=1, 2, ..., n.

[0008] The cloud database is used to store the initial position of each monitoring point corresponding to each monitoring sub-area in the target mine.

[0009] The mine fire prevention monitoring and analysis module is used to collect the usage time and maintenance times of each fire prevention equipment, and obtain the center point position of the target mine based on the three-dimensional information model of the target mine, conduct a fire test at the center point position of the target mine, and monitor the working performance information of each fire prevention equipment in each fire test, so as to analyze the working accuracy of the fire prevention equipment in the target mine.

[0010] Mine safety delivery analysis module: if the explosion-proof performance evaluation index of the target mine or the working accuracy of the fire protection equipment is less than the set value, it is determined that the target mine has safety hazards and cannot be delivered. Otherwise, it is determined that the target mine has no safety hazards and can be delivered.

[0011] Specifically, the explosion-proof status indicator information includes monitoring point information and regional information. The monitoring point information is the position of each monitoring point, and the regional information is the number of cracks in the region and the extension length of each crack.

[0012] Specifically, the position offset index corresponding to each monitoring sub-area is analyzed, and the specific analysis process is as follows: A1, the initial position of each monitoring point corresponding to each monitoring sub-area in the target mine is extracted from the cloud database, and brought into the three-dimensional information model corresponding to the corresponding monitoring sub-area, and the initial position coordinates of each monitoring point corresponding to each monitoring sub-area are obtained, which are recorded as Wherein, j represents the number of the monitoring point, j=1,2,...,m.

[0013] A2. Extract the position of each monitoring point corresponding to each monitoring sub-area from the monitoring point information, and bring it into the three-dimensional information model corresponding to the corresponding monitoring sub-area to obtain the position coordinates of each monitoring point corresponding to each monitoring sub-area, recorded as (x ij ,y ij ,z ij ).

[0014] A3. Calculate the position deviation index β of each monitoring point corresponding to each monitoring sub-area ij , Here, Δx′, Δy′ and Δz′ represent the position offset values ​​corresponding to the x-axis, y-axis and z-axis respectively.

[0015] A4. Calculate the position shift index χ corresponding to each monitoring sub-area i , Where m represents the number of monitoring points.

[0016] Specifically, the regional state evaluation index corresponding to each monitoring sub-region is analyzed, and the specific analysis process is as follows: B1. The number of regional cracks corresponding to each monitoring sub-region and the extension length of each crack are extracted from the regional information.

[0017] B2. The number of regional cracks corresponding to each monitoring sub-area is recorded as ε i .

[0018] B3. Extract the maximum value from the extension length of each crack corresponding to each monitoring sub-area, and record it as l i .

[0019] B4. According to the three-dimensional information model corresponding to each monitoring sub-region, the area of ​​each monitoring sub-region is obtained, which is recorded as S i .

[0020] B5. Calculate the regional status assessment index δ corresponding to each monitoring sub-area i , Among them, K1 and l′ represent the set reference crack density and crack safety extension length respectively, a1 and a2 represent the set crack density and crack safety extension length corresponding to the regional status assessment weights respectively, and e represents a natural constant.

[0021] Specifically, the explosion-proof performance evaluation index of the target mine is analyzed, and the specific analysis process is as follows: C1. Calculate the explosion-proof performance evaluation index corresponding to each monitoring sub-area Among them, χ i and δ i It represents the set reference position offset index and regional status assessment index, and a3 and a4 represent the set position offset index and regional status assessment index corresponding to the explosion-proof performance assessment weights respectively.

[0022] C2. Compare the explosion-proof performance evaluation index corresponding to each monitoring sub-area with the set explosion-proof performance evaluation index. If the explosion-proof performance evaluation index corresponding to a monitoring sub-area is less than the set explosion-proof performance evaluation index, the monitoring sub-area is determined to be a dangerous sub-area, and the number of dangerous sub-areas in the target mine is counted, recorded as τ.

[0023] C3. Extract the minimum value from the explosion-proof performance evaluation index corresponding to each monitoring sub-area, and record it as

[0024] C4. Calculate the explosion-proof performance evaluation index of the target mine Where n represents the number of monitoring sub-areas, K2 and They respectively represent the percentage of the number of dangerous sub-areas and the explosion-proof performance evaluation index of the set reference, and a5 and a6 respectively represent the weights of the percentage of the number of dangerous sub-areas and the explosion-proof performance evaluation index corresponding to the percentage of explosion-proof performance evaluation.

[0025] Specifically, the work performance information includes actual work start time and actual work duration.

[0026] Specifically, the working accuracy of the fire protection equipment in the target mine is analyzed, and the specific analysis process is as follows: D1. The actual starting working time and actual working time of each fire protection equipment in each fire test are extracted from the working performance information, and the working accuracy θ of the fire protection equipment in each fire test is calculated based on the actual starting working time and actual working time of each fire protection equipment in each fire test. r , where r represents the number of the fire test, r = 1, 2, ..., g.

[0027] D2. Difference between the working accuracy of the fire protection equipment in each fire test and the working accuracy of the set reference is made to obtain the working accuracy deviation of the fire protection equipment in each fire test, and the maximum working accuracy deviation is extracted from it, recorded as Δθ 大 .

[0028] D3. Extract the maximum and minimum values ​​from the working accuracy of the fire protection equipment in each fire test and record them as θ 大 and θ 小 .

[0029] D4. Calculate the working accuracy of the fire protection equipment in the target mine, ω. Among them, Δθ′ and Δθ″ represent the set reference work accuracy deviation and work accuracy extreme deviation respectively, and a7 and a8 represent the set work accuracy deviation and work accuracy extreme deviation corresponding to the work accuracy assessment proportion weight respectively.

[0030] Specifically, the calculation process of the working accuracy of the fire protection equipment in each fire test is as follows: E1. extracting the displayed working start time and displayed working duration of each fire protection equipment in each fire test from the three-dimensional information model of the target mine.

[0031] E2. Calculate the accuracy of the working response time of the fire protection equipment in each fire test based on the actual starting working time and displayed starting working time of each fire protection equipment in each fire test

[0032] E3. The actual working time and displayed working time of each fire protection equipment in each fire test are recorded as and Wherein, p represents the number of the fire protection equipment, p=1,2,...,q.

[0033] E4. Calculate the accuracy of the working time of fire protection equipment in each fire test Wherein, q represents the number of fire protection equipment, and ΔT represents the deviation of the working time of the set reference.

[0034] E5. According to the usage time and maintenance times of each fire protection equipment, set the working accuracy influencing factor λ of the fire protection equipment.

[0035] E6. Calculate the working accuracy of the fire protection equipment in each fire test θ r , Among them, b1 and b2 represent the set work response time accuracy and the work time accuracy corresponding to the weight of the work accuracy assessment respectively.

[0036] Specifically, the calculation accuracy of the working response time of the fire protection equipment in each fire test is calculated, and the specific calculation process is: F1. Compare the actual start working time of each fire protection equipment in each fire test with the displayed start working time to obtain the working response time of each fire protection equipment in each fire test.

[0037] F2. Compare the working response time of each fire protection device in each fire test with the set reference working response time. If the working response time of a fire protection device in a fire test is less than or equal to the set reference working response time, the fire protection device is determined to be a precise response device. The number of precise response devices in each fire test is counted and recorded as σ r .

[0038] F3. Calculate the average working response time of each fire protection equipment in each fire test to obtain the average working response time of the fire protection equipment in each fire test, which is recorded as

[0039] F4. Calculate the accuracy of the working response time of the fire protection equipment in each fire test Among them, K3 and T′ represent the proportion of the number of accurate response devices and the working response time of the set reference respectively, and b3 and b4 represent the weights of the proportion of the number of accurate response devices and the working response time corresponding to the working response time accuracy assessment proportion respectively.

[0040] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention constructs a three-dimensional information model of the target mine and analyzes the explosion-proof performance evaluation index and the working accuracy of the fire protection equipment of the target mine, thereby judging whether the target mine has safety hazards and whether it can be delivered. This effectively solves the limitations of the current delivery safety test at the two levels of explosion-proof and fire protection, and realizes multi-angle and multi-level analysis of the delivery safety of the target mine, thereby ensuring the safety of construction personnel, reducing the possibility of accidents, and ensuring the safe operation of coal construction projects. At the same time, it provides direction for the adjustment and improvement of subsequent mine mining projects, thereby improving the mining efficiency and mining quality of mine mining projects.

[0041] (2) The present invention analyzes the position offset index and regional status evaluation index corresponding to each monitoring sub-region according to the position of each monitoring point, the number of regional cracks and the extension length of each crack, thereby analyzing the explosion-proof performance evaluation index of the target mine, thereby minimizing the variability of the explosion-proof performance evaluation results of the target mine, further improving the intelligent monitoring effect of explosion-proof safety of the target mine, accurately understanding the explosion-proof safety status of the target mine, thereby reducing the safety risks of mine workers at work and reducing the impact on the overall mining construction progress of the mine.

[0042] (3) The present invention sets multiple groups of fire tests and monitors the actual start working time and actual working duration of each fire protection equipment in each fire test. At the same time, combined with the displayed start working time and displayed working duration of each fire protection equipment in each fire test, the working accuracy of the fire protection equipment in the target mine is analyzed, thereby improving the credibility and persuasiveness of the confirmation of the fire protection test results of the target mine, ensuring the timeliness of the working response of the fire protection equipment and the accuracy of the working duration, thereby improving the accuracy and rationality of the final analysis results, and improving the operational reliability of the fire protection equipment in the target mine. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0044] Figure 1 It is a schematic diagram of the system module structure connection of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] See also Figure 1 As shown, the present invention provides a digital delivery analysis and management system for coal construction projects, including: a mine area division module, a mine explosion-proof monitoring and analysis module, a cloud database, a mine fire prevention monitoring and analysis module and a mine safety delivery analysis module.

[0047] The mine explosion-proof monitoring and analysis module and the mine fire prevention monitoring and analysis module are both connected to the mine area division module, the mine explosion-proof monitoring and analysis module and the mine fire prevention monitoring and analysis module are both connected to the mine safety delivery analysis module, and the mine explosion-proof monitoring and analysis module is connected to the cloud database.

[0048] The mine area division module is used to divide the target mine into monitoring sub-areas according to a preset length, and construct a three-dimensional information model of the target mine, so as to obtain a three-dimensional information model corresponding to each monitoring sub-area.

[0049] The mine explosion-proof monitoring and analysis module is used to perform blasting tests in the coal blasting areas corresponding to each monitoring sub-area according to the three-dimensional information model corresponding to each monitoring sub-area, and monitor the explosion-proof status index information corresponding to each monitoring sub-area, so as to analyze the position deviation index χ corresponding to each monitoring sub-area. i and regional status assessment index δ i , and then analyze the explosion-proof performance evaluation index of the target mine Here, i represents the number of the monitoring sub-area, i=1, 2, ..., n.

[0050] In a specific embodiment of the present invention, the explosion-proof status index information includes monitoring point information and regional information, the monitoring point information is the position of each monitoring point, and the regional information is the number of regional cracks and the extension length of each crack.

[0051] It should be noted that the position of each monitoring point is monitored by a GPS locator, and the number of cracks in the area and the extension length of each crack are monitored by cameras installed in each monitoring sub-area.

[0052] In a specific embodiment of the present invention, the position offset index corresponding to each monitoring sub-area is analyzed, and the specific analysis process is as follows: A1, the initial position of each monitoring point corresponding to each monitoring sub-area in the target mine is extracted from the cloud database, and brought into the three-dimensional information model corresponding to the corresponding monitoring sub-area, and the initial position coordinates of each monitoring point corresponding to each monitoring sub-area are obtained, which are recorded as Wherein, j represents the number of the monitoring point, j=1,2,...,m.

[0053] A2. Extract the position of each monitoring point corresponding to each monitoring sub-area from the monitoring point information, and bring it into the three-dimensional information model corresponding to the corresponding monitoring sub-area to obtain the position coordinates of each monitoring point corresponding to each monitoring sub-area, recorded as (x ij ,y ij ,z ij ).

[0054] A3. Calculate the position deviation index β of each monitoring point corresponding to each monitoring sub-area ij , Here, Δx′, Δy′ and Δz′ represent the position offset values ​​corresponding to the x-axis, y-axis and z-axis respectively.

[0055] A4. Calculate the position shift index χ corresponding to each monitoring sub-area i , Where m represents the number of monitoring points.

[0056] In a specific embodiment of the present invention, the analysis of the regional state evaluation index corresponding to each monitoring sub-region includes the following specific analysis process: B1. extracting the number of regional cracks corresponding to each monitoring sub-region and the extension length of each crack from the regional information.

[0057] B2. The number of regional cracks corresponding to each monitoring sub-area is recorded as ε i .

[0058] B3. Extract the maximum value from the extension length of each crack corresponding to each monitoring sub-area, and record it as l i .

[0059] B4. According to the three-dimensional information model corresponding to each monitoring sub-region, the area of ​​each monitoring sub-region is obtained, which is recorded as S i .

[0060] B5. Calculate the regional status assessment index δ corresponding to each monitoring sub-area i , Among them, K1 and l′ represent the set reference crack density and crack safety extension length respectively, a1 and a2 represent the set crack density and crack safety extension length corresponding to the regional status assessment weights respectively, and e represents a natural constant.

[0061] In a specific embodiment of the present invention, the explosion-proof performance evaluation index of the target mine is analyzed, and the specific analysis process is as follows: C1. Calculate the explosion-proof performance evaluation index corresponding to each monitoring sub-area Among them, χ i and δ i It represents the set reference position offset index and regional status assessment index, and a3 and a4 represent the set position offset index and regional status assessment index corresponding to the explosion-proof performance assessment weights respectively.

[0062] C2. Compare the explosion-proof performance evaluation index corresponding to each monitoring sub-area with the set explosion-proof performance evaluation index. If the explosion-proof performance evaluation index corresponding to a monitoring sub-area is less than the set explosion-proof performance evaluation index, the monitoring sub-area is determined to be a dangerous sub-area, and the number of dangerous sub-areas in the target mine is counted, recorded as τ.

[0063] C3. Extract the minimum value from the explosion-proof performance evaluation index corresponding to each monitoring sub-area, and record it as

[0064] C4. Calculate the explosion-proof performance evaluation index of the target mine Where n represents the number of monitoring sub-areas, K2 and They respectively represent the percentage of the number of dangerous sub-areas and the explosion-proof performance evaluation index of the set reference, and a5 and a6 respectively represent the weights of the percentage of the number of dangerous sub-areas and the explosion-proof performance evaluation index corresponding to the percentage of explosion-proof performance evaluation.

[0065] The embodiment of the present invention analyzes the position offset index and the regional status evaluation index corresponding to each monitoring sub-region according to the position of each monitoring point, the number of regional cracks and the extension length of each crack, thereby analyzing the explosion-proof performance evaluation index of the target mine, thereby minimizing the difference in the explosion-proof performance evaluation results of the target mine, further improving the intelligent monitoring effect of explosion-proof safety of the target mine, accurately understanding the explosion-proof safety status of the target mine, thereby reducing the safety risks of mine workers at work, and reducing the impact on the overall mining construction progress of the mine.

[0066] The cloud database is used to store the initial position of each monitoring point corresponding to each monitoring sub-area in the target mine.

[0067] The mine fire prevention monitoring and analysis module is used to collect the usage time and maintenance times of each fire prevention equipment, and obtain the center point position of the target mine based on the three-dimensional information model of the target mine, conduct a fire test at the center point position of the target mine, monitor the working performance information of each fire prevention equipment in each fire test, and thus analyze the working accuracy of the fire prevention equipment in the target mine.

[0068] In a specific embodiment of the present invention, the work performance information includes actual work start time and actual work duration.

[0069] In a specific embodiment, the fire protection equipment includes but is not limited to alarm equipment, sprinkler equipment and smoke exhaust equipment. The actual start working time and actual working duration of the alarm equipment refer to the actual start alarm time and actual alarm duration. The actual start working time and actual working duration of the sprinkler equipment refer to the actual start spraying time and actual spraying duration. The actual start working time and actual working duration of the smoke exhaust equipment refer to the actual start smoke exhaust time and actual smoke exhaust duration.

[0070] It should be noted that the usage time, maintenance times, actual start time and actual working time of each fire protection equipment are all collected from the fire protection equipment management background of the target mine.

[0071] In a specific embodiment of the present invention, the working accuracy of the fire protection equipment in the target mine is analyzed, and the specific analysis process is as follows: D1, extracting the actual starting working time and actual working time of each fire protection equipment in each fire test from the working performance information, and calculating the working accuracy θ of the fire protection equipment in each fire test based on this. r , where r represents the number of the fire test, r = 1, 2, ..., g.

[0072] In a specific embodiment of the present invention, the working accuracy of the fire protection equipment in each fire test is calculated, and the specific calculation process is: E1. Extracting the display start working time and display working time of each fire protection equipment in each fire test from the three-dimensional information model of the target mine.

[0073] E2. Calculate the accuracy of the working response time of the fire protection equipment in each fire test based on the actual starting working time and displayed starting working time of each fire protection equipment in each fire test

[0074] In a specific embodiment of the present invention, the accuracy of calculating the working response time of the fire protection equipment in each fire test is calculated, and the specific calculation process is: F1. Compare the actual start working time of each fire protection equipment in each fire test with the displayed start working time to obtain the working response time of each fire protection equipment in each fire test.

[0075] F2. Compare the working response time of each fire protection device in each fire test with the set reference working response time. If the working response time of a fire protection device in a fire test is less than or equal to the set reference working response time, the fire protection device is determined to be a precise response device. The number of precise response devices in each fire test is counted and recorded as σ r .

[0076] F3. Calculate the average working response time of each fire protection equipment in each fire test to obtain the average working response time of the fire protection equipment in each fire test, which is recorded as

[0077] F4. Calculate the accuracy of the working response time of the fire protection equipment in each fire test Among them, K3 and T′ represent the proportion of the number of accurate response devices and the working response time of the set reference respectively, and b3 and b4 represent the weights of the proportion of the number of accurate response devices and the working response time corresponding to the working response time accuracy assessment proportion respectively.

[0078] E3. The actual working time and displayed working time of each fire protection equipment in each fire test are recorded as and Wherein, p represents the number of the fire protection equipment, p=1,2,...,q.

[0079] E4. Calculate the accuracy of the working time of fire protection equipment in each fire test Wherein, q represents the number of fire protection equipment, and ΔT represents the deviation of the working time of the set reference.

[0080] E5. According to the usage time and maintenance times of each fire protection equipment, set the working accuracy influencing factor λ of the fire protection equipment.

[0081] It should be noted that the specific setting process of setting the fire protection equipment working accuracy influencing factor is as follows: G1. Record the use time and maintenance times of each fire protection equipment as and τ p .

[0082] G2, set the fire protection equipment working accuracy influence factor λ, Among them, T′ 使 and τ′ represent the set reference usage time and maintenance times, respectively; c1 and c2 represent the weights of the evaluation ratio of the work accuracy influencing factors corresponding to the set usage time and maintenance times, respectively.

[0083] E6. Calculate the working accuracy of the fire protection equipment in each fire test θ r , Among them, b1 and b2 represent the set work response time accuracy and the work time accuracy corresponding to the weight of the work accuracy assessment respectively.

[0084] D2. Difference between the working accuracy of the fire protection equipment in each fire test and the working accuracy of the set reference is made to obtain the working accuracy deviation of the fire protection equipment in each fire test, and the maximum working accuracy deviation is extracted from it, recorded as Δθ大 .

[0085] D3. Extract the maximum and minimum values ​​from the working accuracy of the fire protection equipment in each fire test and record them as θ 大 and θ 小 .

[0086] D4. Calculate the working accuracy of the fire protection equipment in the target mine, ω. Among them, Δθ′ and Δθ″ represent the set reference work accuracy deviation and work accuracy extreme deviation respectively, and a7 and a8 represent the set work accuracy deviation and work accuracy extreme deviation corresponding to the work accuracy assessment proportion weight respectively.

[0087] The embodiment of the present invention sets multiple groups of fire tests, monitors the actual start working time of each fire protection equipment in each fire test, and combines the displayed start working time and displayed working time of each fire protection equipment in each fire test to analyze the working accuracy of the fire protection equipment in the target mine, thereby improving the credibility and persuasiveness of the confirmation of the fire protection test results of the target mine, ensuring the timeliness of the working response of the fire protection equipment and the accuracy of the working time, thereby improving the accuracy and rationality of the final analysis results, and improving the operational reliability of the fire protection equipment in the target mine.

[0088] The mine safety delivery analysis module determines that the target mine has safety hazards and cannot be delivered if the explosion-proof performance evaluation index of the target mine or the working accuracy of the fire protection equipment is less than the set value. Otherwise, it is determined that the target mine has no safety hazards and can be delivered.

[0089] The embodiment of the present invention constructs a three-dimensional information model of the target mine and analyzes the explosion-proof performance evaluation index of the target mine and the working accuracy of the fire protection equipment, so as to determine whether the target mine has safety hazards and whether it can be delivered. It effectively solves the limitations of the current delivery safety test at the two levels of explosion-proof and fire protection, and realizes multi-angle and multi-level analysis of the delivery safety of the target mine, thereby ensuring the safety of construction personnel, reducing the possibility of accidents, and ensuring the safe operation of coal construction projects. At the same time, it provides direction for the adjustment and improvement of subsequent mine mining projects, and improves the mining efficiency and mining quality of mine mining projects.

[0090] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A digital delivery analysis and management system for coal construction projects, characterized in that: include: The mine area division module is used to divide the target mine into various monitoring sub-areas according to a preset length, and construct a three-dimensional information model of the target mine, so as to obtain a three-dimensional information model corresponding to each monitoring sub-area; The mine explosion-proof monitoring and analysis module is used to perform blasting tests in the coal blasting areas corresponding to each monitoring sub-area according to the three-dimensional information model corresponding to each monitoring sub-area, and monitor the explosion-proof status indicator information corresponding to each monitoring sub-area, so as to analyze the position deviation index corresponding to each monitoring sub-area. and Regional Status Assessment Index , and then analyze the explosion-proof performance evaluation index of the target mine ,in, Indicates the number of the monitoring sub-area. ; A cloud database for storing the initial positions of each monitoring point corresponding to each monitoring sub-area in the target mine; The mine fire prevention monitoring and analysis module is used to collect the usage time and maintenance times of each fire prevention equipment, and obtain the center point position of the target mine based on the three-dimensional information model of the target mine, conduct a fire test at the center point of the target mine, monitor the working performance information of each fire prevention equipment in each fire test, and analyze the working accuracy of the fire prevention equipment in the target mine; Mine safety delivery analysis module: if the explosion-proof performance evaluation index of the target mine or the working accuracy of the fire protection equipment is less than the set value, the target mine is judged to have safety hazards and cannot be delivered; otherwise, it is judged that there are no safety hazards in the target mine and it can be delivered; The work performance information includes the actual start time and actual working time; The working accuracy of the fire protection equipment in the target mine is analyzed, and the specific analysis process is as follows: D1. Extract the actual start time and actual working duration of each fire protection equipment in each fire test from the working performance information, and calculate the working accuracy of the fire protection equipment in each fire test based on this. ,in, Indicates the number of the fire test, ; D2. Subtract the working accuracy of the fire protection equipment in each fire test from the working accuracy of the set reference to obtain the working accuracy deviation of the fire protection equipment in each fire test, and extract the maximum working accuracy deviation from it, which is recorded as ; D3. Extract the maximum and minimum values ​​from the working accuracy of the fire protection equipment in each fire test and record them as and ; D4. Calculate the working accuracy of fire protection equipment in the target mine , ,in, and They represent the working accuracy deviation and working accuracy extreme value deviation of the set reference respectively. and They respectively represent the weights of the set work accuracy deviation and the work accuracy extreme deviation corresponding to the work accuracy assessment ratio; The specific calculation process of calculating the working accuracy of the fire protection equipment in each fire test is as follows: E1. Extract the display start working time and display working duration of each fire protection equipment in each fire test from the three-dimensional information model of the target mine; E2. Calculate the accuracy of the working response time of the fire protection equipment in each fire test based on the actual starting working time and displayed starting working time of each fire protection equipment in each fire test ; E3. The actual working time and displayed working time of each fire protection equipment in each fire test are recorded as and ,in, Indicates the number of the fire protection equipment. ; E4. Calculate the accuracy of the working time of fire protection equipment in each fire test , ,in, Indicates the number of fire protection equipment, Indicates the deviation of working hours from the set reference; E5. Set the influencing factors of the working accuracy of fire protection equipment according to the usage time and maintenance times of each fire protection equipment. ; E6. Calculate the working accuracy of fire protection equipment in each fire test , ,in, and They respectively represent the weights of the set work response time accuracy and work time accuracy corresponding to the work accuracy assessment ratio.

2. A coal construction project digital delivery analysis and management system according to claim 1, characterized in that: The explosion-proof status index information includes monitoring point information and regional information. The monitoring point information is the position of each monitoring point, and the regional information is the number of regional cracks and the extension length of each crack.

3. A coal construction project digital delivery analysis and management system according to claim 2, characterized in that: The specific analysis process of analyzing the position shift index corresponding to each monitoring sub-area is as follows: A1. Extract the initial position of each monitoring point corresponding to each monitoring sub-area in the target mine from the cloud database, and bring it into the three-dimensional information model corresponding to the corresponding monitoring sub-area to obtain the initial position coordinates of each monitoring point corresponding to each monitoring sub-area, recorded as ,in, Indicates the number of the monitoring point. ; A2. Extract the position of each monitoring point corresponding to each monitoring sub-area from the monitoring point information, and bring it into the three-dimensional information model corresponding to the corresponding monitoring sub-area to obtain the position coordinates of each monitoring point corresponding to each monitoring sub-area, recorded as ; A3. Calculate the position deviation index of each monitoring point corresponding to each monitoring sub-area , ,in, and Respectively indicate the setting permission axis, Axis and The position offset value corresponding to the axis; A4. Calculate the position offset index corresponding to each monitoring sub-area , ,in, Indicates the number of monitoring points.

4. A coal construction project digital delivery analysis and management system according to claim 2, characterized in that: The specific analysis process of analyzing the regional status evaluation index corresponding to each monitoring sub-region is as follows: B1. Extract the number of regional cracks corresponding to each monitoring sub-region and the extension length of each crack from the regional information; B2. The number of regional cracks corresponding to each monitoring sub-area is recorded as ; B3. Extract the maximum value from the extension length of each crack corresponding to each monitoring sub-area, and record it as ; B4. According to the three-dimensional information model corresponding to each monitoring sub-area, the area of ​​each monitoring sub-area is obtained, which is recorded as ; B5. Calculate the regional status assessment index corresponding to each monitoring sub-area , ,in, and They represent the reference crack density and crack safety extension length respectively. and They represent the weights of regional status assessment corresponding to the set crack density and crack safety extension length, respectively. Represents a natural constant.

5. A coal construction project digital delivery analysis and management system according to claim 1, characterized in that: The explosion-proof performance evaluation index of the target mine is analyzed, and the specific analysis process is as follows: C1. Calculate the explosion-proof performance evaluation index corresponding to each monitoring sub-area , ,in, and Indicates the position deviation index and regional status assessment index of the set reference, and They respectively represent the weights of explosion-proof performance evaluation corresponding to the set position offset index and regional status evaluation index; C2. Compare the explosion-proof performance evaluation index corresponding to each monitoring sub-area with the set explosion-proof performance evaluation index. If the explosion-proof performance evaluation index corresponding to a monitoring sub-area is less than the set explosion-proof performance evaluation index, the monitoring sub-area is determined to be a dangerous sub-area. The number of dangerous sub-areas in the target mine is counted and recorded as ; C3. Extract the minimum value from the explosion-proof performance evaluation index corresponding to each monitoring sub-area, and record it as ; C4. Calculate the explosion-proof performance evaluation index of the target mine , ,in, represents the number of monitoring sub-areas, and They represent the percentage of dangerous sub-areas and explosion-proof performance evaluation index set as reference. and They respectively represent the percentage of the number of hazardous sub-areas and the weight of the explosion-proof performance evaluation corresponding to the explosion-proof performance evaluation index.

6. A coal construction project digital delivery analysis and management system according to claim 1, characterized in that: The specific calculation process of calculating the accuracy of the working response time of the fire protection equipment in each fire test is as follows: F1. Compare the actual start working time of each fire protection device in each fire test with the displayed start working time to obtain the working response time of each fire protection device in each fire test; F2. Compare the working response time of each fire protection device in each fire test with the set reference working response time. If the working response time of a fire protection device in a fire test is less than or equal to the set reference working response time, the fire protection device is determined to be a precise response device. The number of precise response devices in each fire test is counted and recorded as ; F3. Calculate the average working response time of each fire protection equipment in each fire test to obtain the average working response time of the fire protection equipment in each fire test, which is recorded as ; F4. Calculate the accuracy of the working response time of the fire protection equipment in each fire test , ,in, and They respectively represent the percentage of accurate response devices and the working response time of the set reference. and They respectively represent the proportion of the number of accurate response devices and the weight of the work response time corresponding to the work response time accuracy assessment proportion.

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