CN115115166A - Rescue decision method and system - Google Patents
Rescue decision method and system Download PDFInfo
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- CN115115166A CN115115166A CN202210280885.XA CN202210280885A CN115115166A CN 115115166 A CN115115166 A CN 115115166A CN 202210280885 A CN202210280885 A CN 202210280885A CN 115115166 A CN115115166 A CN 115115166A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The application provides a rescue decision method and a rescue decision system, which are applied to rescue equipment, wherein the method comprises the following steps: acquiring underground environment data, calculating the underground environment data to obtain underground risk parameters, determining risk levels based on the underground risk parameters, determining corresponding decision information based on the risk levels, and executing corresponding operation based on the decision information. The method enables the rescue equipment to have an intelligent decision-making function, can improve rescue efficiency and reduce rescue risks.
Description
Technical Field
The application relates to the technical field of wireless communication in coal mine, in particular to a rescue decision method and a rescue decision system.
Background
With the continuous development of intelligent technology, after mine accidents occur, a plurality of underground rescues continuously adopt new technologies and new devices, particularly various types of rescue devices are applied to the field of rescue in recent years.
In the related technology, when rescue equipment is used for rescue, the rescue equipment mainly explores a rescue site to obtain various data, then transmits the various data to a main control background, the main control background decides a rescue instruction and sends the rescue instruction to the rescue equipment, and the rescue equipment starts to rescue after receiving the rescue instruction.
However, in the related art, the rescue equipment needs longer time to acquire the rescue instruction, so that the rescue efficiency is lower and the rescue risk is higher.
Disclosure of Invention
The application provides a rescue decision method and a rescue decision system, which are used for at least solving the technical problems of low rescue efficiency and high rescue risk of a rescue method in the related technology.
An embodiment of a first aspect of the present application provides a rescue decision method, including:
acquiring downhole environmental data;
calculating the underground environment data to obtain underground risk parameters, determining risk levels based on the underground risk parameters, and determining corresponding decision information based on the risk levels;
corresponding operations are performed based on the decision information.
In a second aspect of the present application, an embodiment provides a rescue decision system, including:
the data acquisition module is used for acquiring underground environment data;
the analysis and judgment module is used for acquiring the underground environment data sent by the data acquisition module, calculating the underground environment data to obtain underground risk parameters, determining a risk level based on the underground risk parameters, and sending corresponding decision information to the control module based on the risk level;
and the control module is used for executing corresponding operation based on the decision information sent by the analysis and judgment module.
In summary, in the rescue decision method and the rescue decision system provided by the embodiments of the present disclosure, the rescue device obtains the downhole environment data, then calculates the downhole environment data to obtain the downhole risk parameter, determines the risk level based on the downhole risk parameter, finally determines the corresponding decision information based on the risk level, and executes the corresponding operation based on the decision information. Therefore, the decision information can be determined by the rescue equipment, and then the corresponding operation is executed based on the determined decision information, that is, the rescue equipment has an intelligent decision function, so that compared with a method that data are firstly sent to a main control background by the rescue equipment and then a rescue instruction is sent to the rescue equipment by the main control background, the time required by the method is short, the rescue efficiency can be improved, and the rescue risk can be reduced.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a rescue decision method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a rescue decision system according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, 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 drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The rescue decision method and system according to the embodiments of the present application are described below with reference to the drawings.
Fig. 1 is a schematic flow chart of a rescue decision method according to an embodiment of the present application, as shown in fig. 1, the method includes:
In one embodiment of the present disclosure, the downhole environment data is mainly used for subsequent analysis to determine the risk level downhole, and because the downhole operation environment of the coal mine is relatively harsh, the risk sources are numerous, including water, fire, gas, coal dust, roofs, electromechanical devices, and the like. Thus, the downhole environmental data may comprise at least one of downhole fire data, downhole gas data, downhole flow data, downhole dust data, operational data of downhole equipment.
In an embodiment of the present disclosure, the method for acquiring downhole environment data may include:
the method comprises the steps that underground fire data are obtained through a fire sensor, the underground fire data can comprise characteristic physical data of a fire, such as temperature, smoke, gas and radiation light intensity, and the characteristic physical data of the fire can be converted into electric signals to be transmitted after the fire sensor obtains the characteristic physical data of the fire.
The method includes acquiring downhole gas data by using a gas sensor, wherein the gas sensor may specifically include a common gas sensor such as a carbon monoxide sensor, a gas sensor, and the like, so as to acquire current downhole gas data, and the downhole gas data may include, for example, downhole carbon monoxide data (such as downhole carbon monoxide concentration), downhole gas data (such as downhole gas concentration), and the like.
The method comprises the steps of acquiring underground water flow data by using a water flow sensor, wherein the water flow sensor is a water flow sensing instrument which outputs pulse signals or signals such as current and voltage through sensing of water flow, and acquiring data such as underground water flow speed by using the water flow sensor.
And acquiring underground dust data (such as underground total dust concentration and the like) by using the dust concentration sensor.
The method comprises the steps of obtaining working data of the underground equipment by using a working data obtaining unit connected with the underground equipment, wherein the underground equipment can specifically comprise underground judgment equipment, underground transportation equipment, underground ventilation equipment and the like.
102, calculating the underground environment data to obtain underground risk parameters, determining risk levels based on the underground risk parameters, and determining corresponding decision information based on the risk levels.
In one embodiment of the present disclosure, the method for calculating the downhole environment data to obtain the downhole risk parameter may include:
102a, calculating risk weight coefficients of various underground environment data based on the various underground environment data.
In an embodiment of the disclosure, each type of downhole environment data is provided with a plurality of first data intervals and a plurality of second data intervals in advance, the first data intervals corresponding to each type of downhole environment data are not overlapped with each other, the first data intervals corresponding to each type of downhole environment data correspond to a first risk weight sub-coefficient, the second data intervals corresponding to each type of downhole environment data are not overlapped with each other, and the second data intervals corresponding to each type of downhole environment data correspond to a second risk weight sub-coefficient.
For example, in one embodiment of the present disclosure, each type of downhole environment data may correspond to three first data intervals and three second data intervals, respectively.
Specifically, the first data interval corresponding to the downhole fire data may be: 0.1-0.2, 0.3-0.5 and 0.6-1; the second data interval corresponding to the downhole fire data may be: 0.1-0.2, 0.3-0.5 and 0.6-1; and the first risk weight sub-coefficient corresponding to the first data interval 0.1-0.2 of the underground fire data and the second risk weight sub-coefficient corresponding to the second data interval 0.1-0.2 may be 0, the first risk weight sub-coefficient corresponding to the first data interval 0.3-0.5 of the underground fire data and the second risk weight sub-coefficient corresponding to the second data interval 0.3-0.5 may be 1, and the first risk weight sub-coefficient corresponding to the first data interval 0.6-1 of the underground fire data and the second risk sub-coefficient corresponding to the second data interval 0.6-1 may be 2.
The first data interval to which downhole gas data may correspond may be: 0.1-0.2, 0.5-0.8 and 0.9-1; the second data interval to which the downhole gas data may correspond may be: 0.1-0.2, 0.5-0.8 and 0.9-1; and the first risk weight sub-coefficient corresponding to the first data interval 0.1-0.2 and the second risk weight sub-coefficient corresponding to the second data interval 0.1-0.2 of the downhole gas data can be 0, the first risk weight sub-coefficient corresponding to the first data interval 0.5-0.8 and the second risk weight sub-coefficient corresponding to the second data interval 0.5-0.8 of the downhole gas data can be 1, the first risk weight sub-coefficient corresponding to the first data interval 0.9-1 and the second risk weight sub-coefficient corresponding to the second data interval 0.9-1 of the downhole gas data can be 2.
The first data interval to which downhole flow data may correspond may be: 0-0.2, 0.3-0.5 and 0.8-1; the second data interval to which downhole flow data may correspond may be: 0-0.2, 0.3-0.5 and 0.8-1; and the first risk weight sub-coefficient corresponding to the first data interval 0-0.2 and the second risk weight sub-coefficient corresponding to the second data interval 0-0.2 of the downhole flow data may be 0, the first risk weight sub-coefficient corresponding to the first data interval 0.3-0.5 and the second risk weight sub-coefficient corresponding to the second data interval 0.3-0.5 of the downhole flow data may be 1, and the first risk weight sub-coefficient corresponding to the first data interval 0.8-1 and the second risk weight sub-coefficient corresponding to the second data interval 0.8-1 of the downhole flow data may be 2.
The first data interval to which the downhole dust data may correspond may be: 0 to 0.2, 0.3 to 0.5 and 0.8 to 1; the second data interval to which the downhole dust data may correspond may be: 0-0.2, 0.3-0.5 and 0.8-1; and the first risk weight sub-coefficient corresponding to the first data interval 0-0.2 and the second risk weight sub-coefficient corresponding to the second data interval 0-0.2 of the downhole dust data may be 0, the first risk weight sub-coefficient corresponding to the first data interval 0.3-0.5 and the second risk weight sub-coefficient corresponding to the second data interval 0.3-0.5 of the downhole dust data may be 1, and the first risk weight sub-coefficient corresponding to the first data interval 0.8-1 and the second risk weight sub-coefficient corresponding to the second data interval 0.8-1 of the downhole dust data may be 2.
The first data interval to which the operating data of the downhole device may correspond may be: 0.1-0.2, 0.3-0.5 and 0.6-1; the second data interval to which the working data of the downhole device may correspond may be: 0.1-0.2, 0.3-0.5 and 0.6-1; and a first risk weight sub-coefficient corresponding to a first data interval 0.1-0.2 of the working data of the downhole equipment and a second risk weight sub-coefficient corresponding to a second data interval 0.1-0.2 may be 0, a first risk weight sub-coefficient corresponding to a first data interval 0.3-0.5 of the working data of the downhole equipment and a second risk weight sub-coefficient corresponding to a second data interval 0.3-0.5 may be 1, a first risk weight sub-coefficient corresponding to a first data interval 0.6-1 of the working data of the downhole equipment and a second risk weight sub-coefficient corresponding to a second data interval 0.6-1 may be 2.
Based on the above, the method for calculating the risk weight coefficients of the various types of downhole environmental data in step 102a based on the various types of downhole environmental data may include:
step a1, determining the average value and variance value for each type of downhole environmental data.
Step a2, determining a first data interval to which the average value of each type of downhole environment data belongs.
For example, assuming that the average value of the downhole fire data in step a1 is 0.4, it may be determined that the average value of the downhole fire data belongs to the first data interval of 0.3-0.5.
And a3, determining a second data interval to which the variance value of each type of downhole environment data belongs.
For example, assuming that the variance value of the downhole fire data in step a1 is 0.15, it can be determined that the variance value of the downhole fire data belongs to the second data interval of 0.1-0.2.
Step a4, determining the average value of a first risk weight sub-coefficient corresponding to a first data interval to which the average value of each type of downhole environment data belongs and a second risk weight sub-coefficient corresponding to a second data interval to which the variance value of each type of downhole environment data belongs as the risk weight coefficient of each type of downhole environment data.
For example, when the average value of the downhole fire data belongs to the first data interval of 0.3-0.5, the first risk weight coefficient corresponding to the first data interval of 0.3-0.5 to which the average value of the downhole fire data belongs is 1; and when the variance value of the underground fire data belongs to the second data interval of 0.1-0.2, the first risk weight coefficient corresponding to the second data interval of 0.1-0.2 to which the variance value of the underground fire data belongs is 0. Based on this, the risk weight coefficient of the downhole fire data can be determined as follows: (1+0) ÷ 2 ═ 0.5.
And calculating the risk weight coefficient of various types of downhole environment data by executing the steps a1-a 4.
And 102b, calculating the underground risk parameters based on the risk weight coefficients of various underground environment data.
In an embodiment of the present disclosure, the calculating the downhole risk parameter based on the risk weight coefficients of the various types of downhole environment data may include:
and E, the downhole risk parameter is sigma (sum of risk weight coefficients of various downhole environment data).
Specifically, in one embodiment of the present disclosure, the downhole risk parameter ∑ (risk weight factor for downhole fire data + risk weight factor for downhole gas data + risk weight factor for downhole fluid data + risk weight factor for downhole dust data + risk weight factor for downhole equipment operating data).
Further, in one embodiment of the present disclosure, after calculating the downhole risk parameter by performing the above steps 102a-102b, the risk level may be further determined based on the downhole risk parameter. Specifically, in one embodiment of the present disclosure, a method for determining a risk level based on a downhole risk parameter may include: when the downhole risk parameter is less than or equal to the first threshold, the risk parameter is smaller, and further the downhole environment is basically safe, the risk level can be determined to be the first risk level; when the underground risk parameter is larger than the first threshold and smaller than or equal to the second threshold, the risk parameter is not small but is not too large, further the underground environment may have a certain potential safety hazard, and the risk level can be determined to be the second risk level; and when the downhole risk parameter is larger than the second threshold, the risk parameter is larger, further, the downhole environment is possibly provided with important potential safety hazards, and then the risk grade can be determined to be a third risk grade. In an embodiment of the present disclosure, the first threshold and the second threshold may be predetermined, for example, the first threshold may be 1, and the second threshold may be 2.
Further, in an embodiment of the present disclosure, after determining the risk level, the corresponding decision information may be determined based on the risk level, wherein the method for determining the corresponding decision information based on the risk level may include:
when the risk level is a first risk level, which indicates that the risk level of the current downhole environment is low, the decision information may be determined as: carrying out rescue;
when the risk level is a second risk level, which indicates that the risk level of the current downhole environment is a medium level, the decision information may be determined as: sending a rescue request to a main control background, wherein the rescue request carries various underground environment data so that the main control background judges whether rescue is carried out;
when the risk level is a third risk level, which indicates that the risk level of the current downhole environment is higher, the decision information may be determined as: and suspending rescue, sending various underground environment data to the main control background, simultaneously acquiring the underground environment data in real time again and judging the risk level in real time (namely, circularly executing the step 101 and the step 103).
And 103, executing corresponding operation based on the decision information.
Specifically, in an embodiment of the present disclosure, a method for performing a corresponding operation based on decision information may include:
when the decision information is: when the rescue is implemented, the rescue equipment can implement the rescue immediately.
When the decision information is: the method comprises the steps that a rescue request is sent to a main control background, the rescue request carries various underground environment data, when the main control background judges whether rescue is carried out, the rescue equipment can immediately send the rescue request carrying the various underground environment data to the main control background, if a rescue instruction sent by the main control background is obtained, rescue is immediately implemented, and if the rescue instruction sent by the main control background is not obtained, rescue is not implemented.
When the decision information is: and suspending rescue, sending various underground environment data to the main control background, simultaneously acquiring the underground environment data in real time again, and judging the risk level in real time, immediately suspending rescue by the rescue equipment, and circularly executing the step 101-103.
In summary, in the rescue decision method and the rescue decision system provided by the embodiments of the present disclosure, the rescue device obtains the downhole environment data, then calculates the downhole environment data to obtain the downhole risk parameter, determines the risk level based on the downhole risk parameter, finally determines the corresponding decision information based on the risk level, and executes the corresponding operation based on the decision information. Therefore, the decision information can be determined by the rescue equipment, and then the corresponding operation is executed based on the determined decision information, that is, the rescue equipment has an intelligent decision function, so that compared with a method that data are firstly sent to a main control background by the rescue equipment and then a rescue instruction is sent to the rescue equipment by the main control background, the time required by the method is short, the rescue efficiency can be improved, and the rescue risk can be reduced.
Fig. 2 is a schematic structural diagram of a rescue decision system 200 according to an embodiment of the present application, the rescue decision system is configured in a rescue equipment, as shown in fig. 2, the system 200 includes:
a data acquisition module 201, configured to acquire downhole environment data;
the analysis and judgment module 202 is used for acquiring the downhole environment data sent by the data acquisition module, calculating the downhole environment data to obtain downhole risk parameters, determining a risk level based on the downhole risk parameters, and sending corresponding decision information to the control module based on the risk level;
and the control module 203 is configured to execute corresponding operations based on the decision information sent by the analysis and judgment module.
Optionally, in an embodiment of the disclosure, the downhole environment data includes at least one of downhole fire data, downhole gas data, downhole flow data, downhole dust data, and operational data of downhole equipment.
Optionally, in an embodiment of the present disclosure, the data obtaining module is further configured to:
acquiring the underground fire data by using a fire sensor;
acquiring the downhole gas data with a gas sensor;
acquiring the underground water flow data by using a water flow sensor;
acquiring the underground dust data by using a dust concentration sensor;
and acquiring the working data of the underground equipment by using a working data acquisition unit connected with the underground equipment.
Optionally, in an embodiment of the present disclosure, the analysis and judgment module is further configured to:
calculating risk weight coefficients of various underground environment data based on various underground environment data;
and calculating the underground risk parameters based on the risk weight coefficients of various underground environment data.
Optionally, in an embodiment of the present disclosure, each type of downhole environment data corresponds to a plurality of first data intervals and a plurality of second data intervals, each first data interval corresponding to each type of downhole environment data does not overlap with each other, each first data interval corresponding to each type of downhole environment data corresponds to a first risk weight sub-coefficient, each second data interval corresponding to each type of downhole environment data does not overlap with each other, each second data interval corresponding to each type of downhole environment data corresponds to a second risk weight sub-coefficient;
the analysis and judgment module is further configured to:
determining an average value and a variance value for each type of underground environment data;
determining a first data interval to which the average value of each type of underground environment data belongs;
determining a second data interval to which the variance value of each type of underground environment data belongs;
and determining the mean value of a first risk weight sub-coefficient corresponding to a first data interval to which the mean value of each type of underground environment data belongs and a second risk weight sub-coefficient corresponding to a second data interval to which the variance value of each type of underground environment data belongs as the risk weight coefficient of each type of underground environment data.
Optionally, in an embodiment of the present disclosure, the analysis and judgment module is further configured to:
and E, the downhole risk parameter is sigma (sum of risk weight coefficients of various downhole environment data).
Optionally, in one embodiment of the disclosure, the downhole risk parameter ∑ (risk weight of downhole fire data + risk weight of downhole gas data + risk weight of downhole fluid data + risk weight of downhole dust data + risk weight of downhole equipment operating data).
Optionally, in an embodiment of the present disclosure, the analysis and judgment module is further configured to:
when the downhole risk parameter is smaller than or equal to a first threshold value, determining the risk level as a first risk level;
when the underground risk parameter is larger than a first threshold and smaller than or equal to a second threshold, determining the risk level as a second risk level;
and when the downhole risk parameter is larger than a second threshold value, determining the risk level as a third risk level.
Optionally, in an embodiment of the present disclosure, the analysis and judgment module is further configured to:
when the risk level is a first risk level, determining that the decision information is: carrying out rescue;
when the risk level is a second risk level, determining that the decision information is: sending a rescue request to a main control background, wherein the rescue request carries various underground environment data so that the main control background judges whether rescue is carried out;
when the risk level is a third risk level, determining that the decision information is: and suspending rescue, sending various underground environment data to the main control background, simultaneously acquiring the underground environment data again in real time and judging the risk level in real time.
In summary, in the rescue decision system provided in the embodiment of the present disclosure, the downhole environment data is obtained, and then the downhole environment data is calculated to obtain the downhole risk parameter, the risk level is determined based on the downhole risk parameter, the corresponding decision information is determined based on the risk level, and the corresponding operation is executed based on the decision information. Therefore, the method provided by the disclosure can enable the rescue equipment to have an intelligent decision-making function, reduce the rescue risk and improve the rescue efficiency.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A rescue decision method is applied to rescue equipment and comprises the following steps:
acquiring downhole environmental data;
calculating the underground environment data to obtain underground risk parameters, determining risk levels based on the underground risk parameters, and determining corresponding decision information based on the risk levels;
corresponding operations are performed based on the decision information.
2. The method of claim 1, wherein the downhole environmental data comprises at least one of downhole fire data, downhole gas data, downhole flow data, downhole dust data, operational data of downhole equipment.
3. The method of claim 1, wherein the acquiring downhole environmental data comprises:
acquiring the underground fire data by using a fire sensor;
acquiring the downhole gas data using a gas sensor;
acquiring underground water flow data by using a water flow sensor;
acquiring the underground dust data by using a dust concentration sensor;
and acquiring the working data of the underground equipment by using a working data acquisition unit connected with the underground equipment.
4. The method of claim 2, wherein the calculating the downhole environmental data to obtain a downhole risk parameter comprises:
calculating risk weight coefficients of various underground environment data based on various underground environment data;
and calculating the underground risk parameters based on the risk weight coefficients of various underground environment data.
5. The method of claim 4, wherein each type of downhole environment data corresponds to a plurality of first data intervals and a plurality of second data intervals, each first data interval corresponding to each type of downhole environment data does not overlap with each other, each first data interval corresponding to each type of downhole environment data corresponds to a first risk weight sub-coefficient, each second data interval corresponding to each type of downhole environment data does not overlap with each other, each second data interval corresponding to each type of downhole environment data corresponds to a second risk weight sub-coefficient;
the risk weight coefficient of various underground environment data is calculated based on various underground environment data, and the risk weight coefficient comprises the following steps:
determining an average value and a variance value for each type of underground environment data;
determining a first data interval to which the average value of each type of underground environment data belongs;
determining a second data interval to which the variance value of each type of underground environment data belongs;
and determining the mean value of a first risk weight sub-coefficient corresponding to a first data interval to which the mean value of each type of underground environment data belongs and a second risk weight sub-coefficient corresponding to a second data interval to which the variance value of each type of underground environment data belongs as the risk weight coefficient of each type of underground environment data.
6. The method of claim 4, wherein calculating the downhole risk parameter based on the risk weight coefficients of the types of downhole environmental data comprises:
and the downhole risk parameter is sigma (the sum of the risk weight coefficients of various types of downhole environment data).
7. The method of claim 6,
the downhole risk parameter ═ Σ (risk weight for downhole fire data + risk weight for downhole gas data + risk weight for downhole fluid data + risk weight for downhole dust data + risk weight for downhole equipment operating data).
8. The method of claim 1, the determining a risk level based on the downhole risk parameter, comprising:
when the downhole risk parameter is smaller than or equal to a first threshold value, determining the risk level as a first risk level;
when the underground risk parameter is larger than a first threshold and smaller than or equal to a second threshold, determining the risk level as a second risk level;
and when the underground risk parameter is larger than a second threshold value, determining the risk level as a third risk level.
9. The method of claim 8, the determining corresponding decision information based on the risk level, comprising:
when the risk level is a first risk level, determining that the decision information is: carrying out rescue;
when the risk level is a second risk level, determining that the decision information is: sending a rescue request to a main control background, wherein the rescue request carries various underground environment data so that the main control background judges whether rescue is carried out;
when the risk level is a third risk level, determining that the decision information is: and suspending rescue, sending various underground environment data to the main control background, simultaneously acquiring the underground environment data again in real time and judging the risk level in real time.
10. A rescue decision system configured in a rescue apparatus, comprising:
the data acquisition module is used for acquiring underground environment data;
the analysis and judgment module is used for acquiring the underground environment data sent by the data acquisition module, calculating the underground environment data to obtain underground risk parameters, determining risk levels based on the underground risk parameters, and sending corresponding decision information to the control module based on the risk levels;
and the control module is used for executing corresponding operation based on the decision information sent by the analysis and judgment module.
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| AU2023201485A AU2023201485A1 (en) | 2022-03-21 | 2023-03-09 | Rescue decision-making method and system |
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| EP2754105A4 (en) * | 2011-09-09 | 2015-05-20 | Margaret Hildick-Pytte | Emergency services system and method |
| CN102682341A (en) * | 2012-04-30 | 2012-09-19 | 山西潞安环保能源开发股份有限公司常村煤矿 | System and method for managing coal mine emergency rescue command information |
| CN104265358B (en) * | 2014-08-14 | 2017-02-08 | 中煤科工集团重庆研究院有限公司 | Wireless remote control command communication system device of portable mining intrinsic safety rescue detecting robot |
| CN110247962A (en) * | 2019-05-31 | 2019-09-17 | 煤科集团沈阳研究院有限公司 | Mining wearable Portable rescuing decision making device, system and its data interactive method |
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2022
- 2022-03-21 CN CN202210280885.XA patent/CN115115166A/en active Pending
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2023
- 2023-03-09 AU AU2023201485A patent/AU2023201485A1/en active Pending
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