CN114783145A - Block chain-based dangerous condition early warning device and method - Google Patents
Block chain-based dangerous condition early warning device and method Download PDFInfo
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- CN114783145A CN114783145A CN202210715492.7A CN202210715492A CN114783145A CN 114783145 A CN114783145 A CN 114783145A CN 202210715492 A CN202210715492 A CN 202210715492A CN 114783145 A CN114783145 A CN 114783145A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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- G08B21/12—Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
- G08B21/14—Toxic gas alarms
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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Abstract
The invention relates to the technical field of safety early warning, in particular to a block chain-based dangerous condition early warning device and an early warning method; including the monitoring module, analysis module, control module and early warning module, through the condition in the control module control monitoring module monitoring operation environment, and with real-time monitoring data transmission to analysis module, analysis module's analysis unit carries out contrastive analysis with monitoring data and block chain data, judge the operation environment and the key danger source that have dangerous hidden danger, and fix a position the sign to the operation environment that has dangerous hidden danger through the positioning unit, early warning module is again based on danger source factor analysis, and early warning is carried out to the operation environment positioning result that has danger source factor of safety, workman and emergency personnel near dangerous operation environment carry out the early warning, solve current dangerous operation environment early warning device and can't fix a position dangerous operation environment, the problem of effective rescue in time.
Description
Technical Field
The invention relates to the technical field of safety early warning, in particular to a block chain-based dangerous condition early warning device and an early warning method.
Background
In recent years, underground accidents occur frequently in coal mines in China, the number of casualties exceeds half of the number of casualties of a plurality of serious accidents, the casualties caused by gas explosion account for more than 50% of the number of all serious accidents, huge damage is caused to the life safety of national economy and citizens, the position of the existing fixed-point detection equipment is fixed, and blind areas exist in the continuously tunneled mine holes.
The production and transportation process of toxic and harmful gases, high-pressure gases and flammable and explosive substances has leakage risks, the scale of the chemical industry development of China is large, the yield is high, the number of accidents which occur every year is large, tank car leakage, factory explosion and gas explosion often occur, many monitoring problems exist, and hundreds of people die every year.
A blockchain is a database with data "hash validation" functionality. The blocks are data blocks, the data blocks are combined into a chain structure according to the time sequence, and the reliability of the database is maintained collectively in a distributed accounting mode by using a cryptographic algorithm. All data blocks are connected in time sequence, thereby forming a block chain.
With the development of electronic information technology, more convenient and reliable detection can be realized for behaviors with dangerous properties, and the occurrence of dangers can be known more quickly, so that the dangers are early warned, the danger condition which may occur or already occurs can be more efficiently treated, a more perfect danger coping mechanism is established, the loss of personnel and property is reduced, and a good foundation is laid for the possibility due to the gradual maturity of 5g technology and the development of a block chain.
The existing coal mine danger detection method monitors the interior of a mine tunnel on the basis of a block chain, can monitor and early warn the mine tunnel in real time, but has no way of positioning the mine tunnel with dangerous conditions, cannot inform nearby personnel in real time, cannot synchronously receive an alarm signal for emergency personnel, cannot perform emergency rescue and treatment on the mine tunnel, delays emergency events and is easy to cause loss expansion.
Disclosure of Invention
The invention aims to provide a block chain-based dangerous condition early warning device and an early warning method, and aims to solve the problems that the conventional dangerous operation environment early warning device cannot position a dangerous operation environment and cannot timely and effectively rescue.
In order to achieve the above object, in a first aspect, the present invention provides a block chain-based dangerous condition early warning device, including a monitoring module, an analysis module, a control module and an early warning module, where the monitoring module, the analysis module, the control module and the early warning module are connected; the analysis module comprises a storage unit, an analysis unit and a positioning unit, wherein the storage unit, the analysis unit and the positioning unit are connected.
The monitoring module is used for monitoring key hazard source safety parameter items and accident site environment data conditions in the operation environment to obtain monitoring data;
the control module is used for controlling the operation of the monitoring module, the analysis module and the early warning module.
And the analysis unit is used for analyzing the monitoring data to obtain an analysis result.
The early warning module provides an intelligent emergency rescue scheme based on the early warning and analysis of the monitoring data, guides workers to quickly evacuate from the operation environment and carries out emergency rescue;
the positioning unit marks and positions the working environment with the potential danger based on the analysis result; and obtaining the tracing data.
The storage unit is used for storing the monitoring data.
The monitoring module comprises an induction unit, a monitoring unit and a sorting unit, wherein the induction unit and the monitoring unit are respectively connected with the sorting unit.
And the sensing unit is used for monitoring the safety parameters of the key danger sources of the working environment.
And the monitoring unit is used for monitoring the conditions in the working environment.
And the arrangement unit is used for arranging the data of the induction unit and the monitoring unit to obtain the monitoring data.
The analysis unit comprises an extraction subunit and a comparison subunit, and the extraction subunit and the comparison subunit are connected.
The extraction subunit is configured to extract the block chain data of the storage unit to obtain extracted data.
And the comparison subunit is used for performing comparative analysis on the monitoring data and the extracted data to obtain a comparison result.
The control module comprises a control unit and a communication unit, and the control unit is connected with the communication unit.
The control unit is used for controlling the operation of the monitoring module, the analysis module and the early warning module.
And the communication unit is used for data transmission among the monitoring module, the analysis module and the early warning module.
The early warning module comprises an early warning unit and a tracing unit, and the early warning unit is connected with the tracing unit.
The early warning unit provides an intelligent emergency rescue scheme based on the monitoring data early warning and analysis, and guides workers to evacuate from the operation environment quickly and carry out emergency rescue.
And the tracing unit is used for tracing the operation environment with dangerous hidden danger in the positioning mark to obtain tracing data.
The early warning unit comprises an alarm subunit and a guide subunit, and the alarm subunit is connected with the guide subunit.
And the alarm subunit sends an alarm to perform early warning based on the comparison result.
And the guiding subunit guides the worker to leave the mine tunnel based on the tracing data.
In a second aspect, the present invention further provides a block chain-based dangerous condition early warning method, including the following steps:
and controlling the monitoring module to monitor the conditions in the operating environment through the control module to obtain monitoring data.
And the monitoring module sends the monitoring data to an analysis module for analysis to obtain an analysis result.
And the early warning module carries out early warning based on the analysis result and provides an intelligent emergency rescue scheme.
The invention relates to a block chain-based dangerous condition early warning device, wherein a monitoring module, an analysis module, a control module and an early warning module are connected through a circuit, the monitoring module is controlled by the control module to monitor conditions in an operation environment, such as key dangerous source safety parameter items (including but not limited to a poisonous and harmful substance mine, a limited operation environment and a production environment) and accident site environment data conditions (including but not limited to temperature, pressure, concentration, solubility and humidity), real-time monitoring data is transmitted to the analysis module, an analysis unit of the analysis module compares and analyzes the monitoring data and block chain data to judge an operation environment or a dangerous source with dangerous hidden danger, the positioning unit positions and marks the operation environment with the dangerous hidden danger, and the early warning module carries out early warning based on analysis and positioning results, the emergency rescue system is characterized in that early warning is carried out on workers and emergency personnel near a dangerous operation environment, an intelligent emergency scheme is provided, so that the workers can be evacuated quickly to evacuate and evacuate the operation environment to carry out emergency rescue, the storage unit is used for storing monitoring data and analyzing the next comparison and analysis of the analysis unit, and the problems that an existing operation environment early warning device cannot locate the dangerous operation environment and analyze safety parameters of dangerous sources and cannot rescue timely and effectively are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a conventional coal mine danger early warning device.
Fig. 2 is a schematic diagram of a block chain-based danger warning device according to the present invention.
Fig. 3 is a schematic view of a monitoring module of a block chain-based danger warning device according to the present invention.
Fig. 4 is a schematic diagram of an analysis unit of a block chain-based danger warning device according to the present invention.
Fig. 5 is a schematic diagram of a control module of a block chain-based danger warning device according to the present invention.
Fig. 6 is a schematic diagram of an early warning module of a block chain-based dangerous condition early warning apparatus according to the present invention.
Fig. 7 is a schematic diagram of a storage unit of a block chain-based danger warning device according to the present invention.
Fig. 8 is a flowchart of a block chain-based risk condition early warning method provided by the present invention.
In the figure: the system comprises a monitoring module, a 2-analysis module, a 3-control module, a 4-early warning module, a 5-storage unit, a 6-analysis unit, a 7-positioning unit, an 8-induction unit, a 9-monitoring unit, a 10-extraction subunit, a 11-comparison subunit, a 12-control unit, a 13-communication unit, a 14-early warning unit, a 15-tracing unit, a 16-alarm subunit, a 17-guide subunit, a 18-compression unit, a 19-storage subunit, a 20-data transmission subunit, a 21-operation subunit and a 22-sorting unit.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative and intended to explain the present invention and should not be construed as limiting the present invention.
Referring to fig. 1 to 8, in a first aspect, the present invention provides a block chain-based dangerous condition early warning apparatus, including a monitoring module 1, an analysis module 2, a control module 3, and an early warning module 4, where the monitoring module 1, the analysis module 2, the control module 3, and the early warning module 4 are connected; the analysis module 2 comprises a storage unit 5, an analysis unit 6 and a positioning unit 7, wherein the storage unit 5, the analysis unit 6 and the positioning unit 7 are connected.
The monitoring module 1 is used for monitoring key dangerous source safety parameter items and accident site environment data conditions in the operation environment to obtain monitoring data.
The control module 3 is configured to control operations of the monitoring module 1, the analysis module 2, and the early warning module 4.
And the analysis unit 6 is used for analyzing the monitoring data to obtain an analysis result.
And the early warning module 4 gives out an alarm based on the analysis result to carry out early warning and guide workers to withdraw from the working environment.
And the positioning unit 7 marks and positions the working environment with the potential danger based on the analysis result.
The storage unit 5 is configured to store the monitoring data.
In this embodiment, the monitoring module 1 is controlled by the control module 3 to monitor the safety parameter items (not limited to temperature, pressure, concentration, solubility, humidity, etc.) of the important hazard sources and the data conditions (not limited to temperature, pressure, concentration, solubility, humidity, etc.) of the accident site environment in the working environment, and transmit the real-time monitoring data to the analysis module 2, the analysis unit 6 of the analysis module 2 compares and analyzes the monitoring data with the block chain data, judges the working environment with the hazard potential and the important hazard sources, and carries out positioning identification on the working environment with the hazard potential by the positioning unit 7, the early warning module 4 analyzes the safety factor based on the hazard source and carries out early warning on the positioning result of the working environment with the hazard sources, and carries out early warning on safety factor and emergency personnel near the hazardous working environment, the mine roadway evacuation device has the advantages that workers can be evacuated quickly to evacuate and evacuate the mine roadway, the storage unit 5 is used for storing the monitoring data to form a block chain, the block chain is used for next comparison and analysis of the analysis unit 6, and the problems that an existing coal mine dangerous operation environment early warning device cannot position a dangerous operation environment and cannot rescue timely and effectively are solved.
Further, the monitoring module 1 includes a sensing unit 8, a monitoring unit 9 and a sorting unit 22, and the sensing unit 8 and the monitoring unit 9 are respectively connected to the sorting unit 22.
And the sensing unit 8 is used for monitoring the safety parameters of the key danger sources of the working environment.
The monitoring unit 9 is configured to monitor a situation in the work environment.
The sorting unit 22 is configured to sort the data of the sensing unit 8 and the monitoring unit 9 to obtain the monitoring data.
In the present embodiment, conditions in the working environment, such as important hazardous source safety parameter items (including but not limited to hazardous substance mines, limited working environments and production environments) and accident scene environment data conditions (including but not limited to temperature, pressure, concentration, solubility and humidity) are monitored by the sensing unit 8, the sensing unit 8 includes but not limited to a radiation concentration sensor (CNR 4), a hazardous gas concentration sensor (KB-501 SG), a temperature sensor (FT-H50), a pressure sensor (GP-M250), a liquid level sensor (FL-C001), an ultrasonic sensor (FW-H10R) and a capacitance level sensor (capaNCDT 6110), and the monitoring unit 9 is used for monitoring equipment and transportation conditions in the working environment.
Further, the analysis unit 6 comprises an extraction subunit 10 and a comparison subunit 11, and the extraction subunit 10 is connected with the comparison subunit 11.
The extraction subunit 10 is configured to extract the block chain data of the storage unit 5 to obtain extracted data.
And the comparison subunit 11 is configured to perform comparison analysis on the monitoring data and the extracted data to obtain a comparison result.
In this embodiment, the extraction subunit 10 extracts the block chain data of the storage unit 5 to obtain extracted data, and sends the extracted data to the comparison subunit 11, and the comparison subunit 11 performs comparison analysis on the monitoring data and the extracted data to obtain an analysis result.
Further, the control module 3 includes a control unit 12 and a communication unit 13, and the control unit 12 is connected to the communication unit 13.
The control unit 12 is configured to control operations of the monitoring module 1, the analysis module 2, and the early warning module 4.
The communication unit 13 is configured to transmit data among the monitoring module 1, the analysis module 2, and the early warning module 4.
In this embodiment, the control unit 12 controls the operations of the monitoring module 1, the analysis module 2, and the warning module 4, and the communication unit 13 transmits data among the monitoring module 1, the analysis module 2, and the warning module 4.
Further, the early warning module 4 comprises an early warning unit 14 and a tracing unit 15, and the early warning unit 14 is connected with the tracing unit 15; the early warning unit 14 comprises an alarm subunit 16 and a guide subunit 17, and the alarm subunit 16 is connected with the guide subunit 17.
The early warning unit 14 gives an early warning based on the monitoring data to guide workers to rapidly evacuate the working environment.
And the tracing unit 15 is used for tracing the operation environment with dangerous hidden danger in the positioning mark to obtain tracing data.
And the alarm subunit 16 sends an alarm to perform early warning based on the comparison result.
The guidance subunit 17 guides the worker to leave the mine tunnel based on the retrospective data.
In this embodiment, the alarm subunit 16 of the early warning unit 14 sends an alarm to perform early warning based on the comparison result, the tracing unit 15 traces back the working environment with a dangerous hidden danger in the positioning mark to obtain tracing data, and the guide subunit 17 guides workers to avoid the dangerous working environment and evacuate quickly.
Further, the storage unit 5 comprises a compression unit 18 and a storage subunit 19, and the compression unit 18 is connected with the storage subunit 19.
The compressing unit 18 is configured to compress the monitoring data to obtain a compressed packet.
The storage subunit 19 is configured to store the compressed packet.
In this embodiment, the monitoring data is compressed by the compression unit 18 to obtain a compressed packet, and the storage subunit 19 stores the compressed packet, so that the monitoring data occupies too much memory of the storage subunit 19, which results in the blocking of the analysis module 2.
Further, the communication unit 13 includes a data transmission subunit 20 and an operation subunit 21, and the data transmission subunit 20 and the operation subunit 21 are connected.
The data transmission subunit 20 is configured to perform data transmission among the monitoring module 1, the analysis module 2, and the early warning module 4.
The operation subunit 21 is configured to stop the monitoring module 1, the analysis module 2, and the early warning module 4.
In this embodiment, the operation subunit stops the data transmission subunit 20 of the monitoring module 1, the analysis module 2, and the early warning module 4 to perform data transmission among the monitoring module 1, the analysis module 2, and the early warning module 4.
In a second aspect, the present invention further provides a block chain-based dangerous condition early warning method, including the following steps:
s1, the control module 3 controls the monitoring module 1 to monitor the conditions in the working environment to obtain monitoring data.
Specifically, the control module 3 controls the monitoring module 1 to monitor conditions in the operation environment, such as key hazard safety parameter items (including but not limited to hazardous substance mines, limited operation environments and production environments) and accident site environment data conditions (not limited to temperature, pressure, concentration, solubility and humidity).
S2, the monitoring module 1 sends the monitoring data to an analysis module 2 for analysis to obtain an analysis result;
specifically, the monitoring module 1 transmits real-time monitoring data to the analysis module 2, the analysis unit 6 of the analysis module 2 compares and analyzes the monitoring data with block chain data, determines an operation environment with a risk potential, and positions and identifies the operation environment with the risk potential through the positioning unit 7.
And the S3 early warning module 4 carries out early warning based on the analysis result.
Specifically, the early warning module 4 carries out early warning on the basis of the analysis and positioning results, and carries out early warning on workers and emergency personnel near the dangerous operation environment, so that the workers can be evacuated and evacuated quickly.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. A block chain-based dangerous condition early warning device is characterized in that,
the system comprises a monitoring module, an analysis module, a control module and an early warning module, wherein the monitoring module, the analysis module, the control module and the early warning module are connected; the analysis module comprises a storage unit, an analysis unit and a positioning unit, and the storage unit, the analysis unit and the positioning unit are connected;
the monitoring module is used for monitoring key dangerous source safety parameter items and accident site environment data conditions in the operation environment to obtain monitoring data;
the control module is used for controlling the operation of the monitoring module, the analysis module and the early warning module;
the analysis unit is used for analyzing the monitoring data to obtain an analysis result;
the early warning module gives an alarm based on the analysis result to carry out early warning and guide workers to evacuate from the working environment of the mine tunnel;
the positioning unit marks and positions the working environment with the potential danger based on the analysis result;
the storage unit is used for storing the monitoring data.
2. The block chain-based danger situation warning apparatus according to claim 1,
the monitoring module comprises a sensing unit, a monitoring unit and an arranging unit, and the sensing unit and the monitoring unit are respectively connected with the arranging unit;
the sensing unit is used for monitoring key danger source safety parameters of the working environment;
the monitoring unit is used for monitoring the condition in the working environment;
and the arrangement unit is used for arranging the data of the induction unit and the monitoring unit to obtain the monitoring data.
3. The block chain-based danger situation warning apparatus according to claim 2,
the analysis unit comprises an extraction subunit and a comparison subunit, and the extraction subunit is connected with the comparison subunit;
the extraction subunit is configured to extract the block chain data of the storage unit to obtain extracted data;
and the comparison subunit is used for performing comparative analysis on the monitoring data and the extracted data to obtain a comparison result.
4. A block chain based hazardous condition early warning device of claim 3,
the control module comprises a control unit and a communication unit, and the control unit is connected with the communication unit;
the control unit is used for controlling the operation of the monitoring module, the analysis module and the early warning module;
the communication unit is used for data transmission among the monitoring module, the analysis module and the early warning module.
5. The block chain-based danger situation warning apparatus according to claim 4,
the early warning module comprises an early warning unit and a tracing unit, and the early warning unit is connected with the tracing unit;
the early warning unit is used for giving an early warning based on the monitoring data and guiding workers to quickly evacuate from the working environment;
and the tracing unit is used for tracing the operation environment with dangerous hidden danger in the positioning mark to obtain tracing data.
6. A block chain based hazardous condition early warning device of claim 5,
the early warning unit comprises an alarm subunit and a guide subunit, and the alarm subunit is connected with the guide subunit;
the alarm subunit sends an alarm to perform early warning based on the comparison result;
and the guiding subunit guides the worker to leave the mine tunnel based on the tracing data.
7. A block chain-based risk condition early warning method applied to the block chain-based risk condition early warning device according to claim 1, comprising the steps of:
controlling a monitoring module to monitor the condition in the operating environment through a control module to obtain monitoring data;
the monitoring module sends the monitoring data to an analysis module for analysis to obtain an analysis result;
and the early warning module carries out early warning based on the analysis result.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115625029A (en) * | 2022-11-03 | 2023-01-20 | 杭州聆为智能科技有限公司 | System and method for monitoring abnormality of thermal power plant broken sieve equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107145990A (en) * | 2017-06-12 | 2017-09-08 | 冀中能源井陉矿业集团大有机电有限公司 | Generation method, generating means and the server of escape route |
| CN108981812A (en) * | 2018-07-19 | 2018-12-11 | 夏璐 | Safety of coal mines detection system and detection method |
| CN109116824A (en) * | 2018-09-10 | 2019-01-01 | 深圳市宇墨科技有限公司 | Mine early-warning processing method and system based on Internet of Things |
| CN110544362A (en) * | 2019-09-04 | 2019-12-06 | 中国联合网络通信集团有限公司 | Construction site anomaly identification method and device based on block chain |
| CN111932832A (en) * | 2020-08-07 | 2020-11-13 | 西南交通大学 | Construction engineering environment disaster accident monitoring and early warning method |
| CN112991669A (en) * | 2021-02-04 | 2021-06-18 | 西安美格智联软件科技有限公司 | Dangerous operation early warning method, system, storage medium and processing terminal |
| CN113744504A (en) * | 2021-11-08 | 2021-12-03 | 西安三勤安全技术有限公司 | Information sharing-based dangerous environment escape and rescue system |
| CN113945886A (en) * | 2021-10-14 | 2022-01-18 | 北京天创万安科技装备有限公司 | Path making method and system based on underground positioning |
| CN113988584A (en) * | 2021-10-25 | 2022-01-28 | 常州大学 | Chemical enterprise safety production risk management system and method |
| CN114037228A (en) * | 2021-10-27 | 2022-02-11 | 四川易链科技有限公司 | Hazardous chemical substance full-flow supervision method and system based on block chain |
| CN114548587A (en) * | 2022-03-01 | 2022-05-27 | 中科海慧（北京）科技有限公司 | Mine hazard source supervision method based on spatial information technology |
-
2022
- 2022-06-23 CN CN202210715492.7A patent/CN114783145A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107145990A (en) * | 2017-06-12 | 2017-09-08 | 冀中能源井陉矿业集团大有机电有限公司 | Generation method, generating means and the server of escape route |
| CN108981812A (en) * | 2018-07-19 | 2018-12-11 | 夏璐 | Safety of coal mines detection system and detection method |
| CN109116824A (en) * | 2018-09-10 | 2019-01-01 | 深圳市宇墨科技有限公司 | Mine early-warning processing method and system based on Internet of Things |
| CN110544362A (en) * | 2019-09-04 | 2019-12-06 | 中国联合网络通信集团有限公司 | Construction site anomaly identification method and device based on block chain |
| CN111932832A (en) * | 2020-08-07 | 2020-11-13 | 西南交通大学 | Construction engineering environment disaster accident monitoring and early warning method |
| CN112991669A (en) * | 2021-02-04 | 2021-06-18 | 西安美格智联软件科技有限公司 | Dangerous operation early warning method, system, storage medium and processing terminal |
| CN113945886A (en) * | 2021-10-14 | 2022-01-18 | 北京天创万安科技装备有限公司 | Path making method and system based on underground positioning |
| CN113988584A (en) * | 2021-10-25 | 2022-01-28 | 常州大学 | Chemical enterprise safety production risk management system and method |
| CN114037228A (en) * | 2021-10-27 | 2022-02-11 | 四川易链科技有限公司 | Hazardous chemical substance full-flow supervision method and system based on block chain |
| CN113744504A (en) * | 2021-11-08 | 2021-12-03 | 西安三勤安全技术有限公司 | Information sharing-based dangerous environment escape and rescue system |
| CN114548587A (en) * | 2022-03-01 | 2022-05-27 | 中科海慧（北京）科技有限公司 | Mine hazard source supervision method based on spatial information technology |
Non-Patent Citations (1)
| Title |
|---|
| 罗盛楠等: "基于区块链的煤矿应急信息联动模式研究", 《煤炭技术》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115625029A (en) * | 2022-11-03 | 2023-01-20 | 杭州聆为智能科技有限公司 | System and method for monitoring abnormality of thermal power plant broken sieve equipment |
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