CN112532727B - Safety protection system for personnel in gas area in workshop - Google Patents
Safety protection system for personnel in gas area in workshop Download PDFInfo
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- CN112532727B CN112532727B CN202011375282.5A CN202011375282A CN112532727B CN 112532727 B CN112532727 B CN 112532727B CN 202011375282 A CN202011375282 A CN 202011375282A CN 112532727 B CN112532727 B CN 112532727B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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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
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0208—Combination with audio or video communication, e.g. combination with "baby phone" function
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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
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/028—Communication between parent and child units via remote transmission means, e.g. satellite network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0876—Network architectures or network communication protocols for network security for authentication of entities based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
Abstract
The invention relates to the technical field of industrial internet, in particular to a personnel safety protection system for a gas area in a workshop, which comprises workshop equipment, personnel wearing equipment, a server and a monitoring pipe end, wherein the workshop equipment is used for carrying out personnel wearing equipment; the workshop equipment comprises a camera and positioning service equipment; the positioning service equipment is used for positioning personnel and sending positioning data to the server; the personnel wearing equipment comprises an intelligent safety helmet and personnel positioning equipment, and the personnel positioning equipment is used for positioning the positioning service equipment; the intelligent safety cap is used for sending the detected data to the server; the server comprises a data center and a service platform, the data center is used for storing data uploaded by each device, and the service platform comprises an alarm module and is used for sending alarm reminding to the monitoring end when abnormality is detected. The regional personnel safety protection system of coal gas in workshop of this application, equipment and personnel's data in can the real-time detection coal gas region, automatic generation alarm information make things convenient for supervisory personnel to supervise, reduce the potential safety hazard.
Description
Technical Field
The invention relates to the technical field of industrial internet, in particular to a personnel safety protection system for a gas area in a workshop.
Background
Some factories can produce gas or use gas in the production process, and the gas contains a large amount of carbon monoxide, has toxicity, and must be strictly prevented from leakage in the processes of storage, transportation and use so as to avoid personal casualties or equipment damage.
Taking steel making as an example, according to the process, a large amount of converter gas is generated in converter production, and the gas is important secondary energy of a steel mill, has high heat value and can be recycled for secondary use. In the working process, a factory has relevant safety management regulations on personnel entering a gas area in a workshop, and carbon monoxide detection and alarm instruments are also arranged on relevant equipment and pipelines of the gas for safety guarantee.
Regional personnel safety protection of coal gas in current workshop, what more lean on is system and CO check out test set, only can detect environmental parameter, can't carry out real-time detection to the condition that gets into the personnel in the coal gas region, staff in case meet accident, and the external world is difficult to in time know and rescue, has the security leak. In addition, sometimes, the staff cannot be completely executed according to safety management regulations, and potential safety hazards can be further amplified if the staff do not wear safety helmets, carry CO detectors, carry interphones, do not go through safety education and the like.
Disclosure of Invention
The invention aims to provide a gas area personnel safety protection system in a workshop, which can detect equipment and personnel data in a gas area in real time, automatically generate alarm information, facilitate supervision of supervision personnel and reduce potential safety hazards.
The application provides the following technical scheme:
the personnel safety protection system for the gas area in the workshop comprises workshop equipment, personnel wearing equipment, a server and a monitoring pipe end;
the workshop equipment comprises a camera and positioning service equipment, and the camera is used for acquiring image data in a gas area and sending the image data to the server; the positioning service equipment is used for positioning the personnel wearing equipment in the gas area and sending the positioning data to the server;
the personnel wearing equipment comprises an intelligent safety helmet and personnel positioning equipment, and the personnel positioning equipment is used for positioning the positioning service equipment; the intelligent safety helmet comprises an impact detection module, a falling detection module, an uncapping detection module, a static detection module and a feed detection module, and is also used for sending detected data to a server;
the server includes data center and service platform, data center is used for the data of storage each equipment upload, service platform includes:
the alarm module is used for judging whether collision, falling, uncapping, stillness and feeding abnormity exist or not according to data uploaded by the intelligent safety helmet and sending alarm prompt to the monitoring end when the abnormity is detected;
and the positioning module is used for acquiring the positions and the tracks of the personnel in the gas area according to the data uploaded by the positioning service equipment.
The monitoring end is connected with the server network and used for receiving and displaying the alarm prompt and displaying video data, personnel positions or personnel tracks in the gas area.
Further, the workshop equipment also comprises workshop detection equipment, and the workshop detection equipment is used for detecting the gas concentration in the gas area and uploading the detection result to the server through a network; the workshop detection equipment is also used for sending out an alarm prompt when the gas concentration data in the gas area of the workshop are detected to be abnormal.
Further, personnel's wearing equipment still includes portable check out test set, portable check out test set is used for detecting and uploading to the server the coal gas concentration in the coal gas region, portable check out test set still is used for carrying out the alarm when detecting that coal gas concentration is unusual and reminds.
The service platform further comprises a prediction module, the prediction module is used for establishing a gas prediction model according to historical data of the workshop detection device and the portable detection device, the prediction module is further used for predicting the gas concentration in the gas area according to the data of the workshop detection device and the portable detection device and the prediction model, and the alarm module is further used for sending a predictive alarm to the supervision terminal according to the prediction result of the gas concentration in the gas area.
Further, the data center further stores a workshop three-dimensional model, the service platform further comprises a path planning module, the path planning module is used for generating an accident handling path according to the workshop three-dimensional model, the positions and the tracks of the personnel, and the detection results of the workshop detection equipment and the portable detection equipment when the alarm module sends the alarm prompt, and sending the accident handling path to the supervisor, and the supervisor is further used for displaying the accident handling path.
Further, personnel's wearing equipment still includes intelligent glasses, intelligent glasses are used for scanning the ID number of the equipment in the workshop gas region, intelligent glasses still are used for obtaining the data, the operation manual and the maintenance manual of corresponding equipment and showing from the server according to the ID number.
Further, the path planning module is further used for sending the accident handling path to the intelligent glasses, and the intelligent glasses are further used for receiving and displaying the accident handling path.
Further, personnel positioning device sets up on intelligent safety helmet, intelligent glasses or portable check out test set.
Further, the service platform comprises a personnel verification module, the personnel verification detection module is used for detecting and verifying the identity and qualification of personnel and the carrying equipment through the camera, the network service equipment and the positioning service equipment when the personnel enter the gas area, and alarming and reminding are carried out if the verification is not passed.
Further, the personnel verification module comprises an identity qualification verification module, a personnel equipment verification module and a personnel quantity verification module, the identity qualification verification module carries out identity recognition through a face image acquired by a camera, the identity qualification verification module is further used for acquiring the access authority and the training qualification of personnel according to an identity recognition result, and the identity qualification verification module is further used for verifying whether a user is entitled to enter the gas area according to the access authority and the training qualification;
the personnel equipment verification module is used for detecting and verifying whether a user wears the specified personnel wearing equipment;
the personnel number verification module is used for detecting the number of the personnel entering the gas area according to the data of the camera, the network service equipment and the positioning service equipment and verifying whether the number of the personnel is within a preset range.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention can realize the omnibearing accurate positioning of personnel, equipment and instruments in the workshop by combining the positioning service equipment with the three-dimensional model of the workshop. According to the positioning information and the detection data of the intelligent safety helmet, real-time alarm functions such as collision alarm, falling alarm, static alarm, uncapping alarm, feed alarm and the like can be realized, and the supervision end can check data or alarm information in real time, so that the function of monitoring the state of personnel in a gas area in real time is realized.
2. According to the invention, an optimal accident handling path is dynamically planned by combining the personnel position and the workshop three-dimensional model, and a supervisor can handle the abnormity according to the optimal path.
3. According to the invention, through the prediction module, a prediction model is constructed by combining the change trend of historical detection data, so that the predictive alarm of the gas concentration is realized, and the staff is reminded to check and maintain in advance.
4. The invention can verify the authority, equipment and the like of personnel through the personnel verification module, and ensure that only authorized personnel are allowed to enter a gas area. And according to the field detection data, the number of field people, the equipment worn or carried by the entering personnel and the like are ensured to be in accordance with the regulations, and the risk caused by the violation of rules of the personnel is avoided.
5. The invention can scan the unique ID of the equipment and the instrument through the intelligent glasses, and obtain the data of the related equipment/instrument, the safe operation instruction and the like through the data center, thereby being capable of quickly knowing the equipment state, troubleshooting the equipment problem, saving the time and reducing the cost.
Drawings
FIG. 1 is a logic block diagram of an embodiment of a gas area personnel safety protection system in a workshop;
FIG. 2 is a logic block diagram of an intelligent safety helmet in a first embodiment of a safety operation management system for a gas area in a workshop;
fig. 3 is a logic block diagram of a second embodiment of the safety operation management system for a gas area in a workshop according to the present application.
Detailed Description
The technical scheme of the application is further explained in detail through the specific implementation mode as follows:
example one
As shown in fig. 1, the safety protection system for personnel in a gas area in a workshop disclosed in this embodiment includes workshop equipment, personnel wearing equipment, a server and a monitoring end.
The workshop equipment comprises a camera, network service equipment, positioning service equipment and workshop detection equipment, and the camera is used for acquiring image data in a gas area and sending the image data to the server;
the network service equipment comprises a network switch, a router and a WiFi AP base station, and the WiFi AP base station forms WiFi coverage in a gas area. In other embodiments of the present application, other types of wireless networks may be adopted for network coverage, such as a bluetooth network and a Zigbee network.
The positioning service equipment is used for positioning the personnel wearing equipment in the gas area and sending the positioning data to the server. In this embodiment, a UWB positioning technology is adopted, and the positioning service device includes a plurality of UWB base stations deployed in the gas area, and the UWB base stations are connected to the network through the network service device to upload data.
The workshop detection equipment is used for detecting the gas concentration in the gas area and uploading the detection result to the server through a network; the workshop detection equipment is also used for sending out an alarm prompt when the gas concentration data in the gas area of the workshop are detected to be abnormal.
The personnel wearing equipment comprises an intelligent safety helmet, intelligent glasses, portable detection equipment and personnel positioning equipment, and the personnel positioning equipment is used for positioning the positioning service equipment; the personnel positioning equipment is a UWB (ultra wide band) tag, and the UWB base station further positions the position of the UWB tag by receiving the signal of the UWB tag. Personnel positioning device sets up on intelligent safety helmet, intelligent glasses or portable check out test set. In this embodiment, the UWB tag is attached to the smart helmet.
As shown in fig. 2, the intelligent safety helmet includes a safety helmet controller, and a safety helmet communication module, an impact detection module, a falling detection module, a uncapping detection module, a static detection module, and a feed detection module, which are all electrically connected to the safety helmet controller, where the safety helmet communication module includes one or more of a WiFi module, a Zigbee module, a 4G module, and a 5G module, in this embodiment, the WiFi module and the 4G module are preferably used, in this embodiment, the intelligent safety helmet is provided with a three-axis accelerometer sensor and a three-axis gyroscope sensor, and the impact detection module detects sudden vibration through the accelerometer sensor, thereby implementing impact detection; according to the acceleration change condition, when the acceleration is smaller than a preset value and lasts for a preset time, the person is considered to be in a static state, the falling detection module detects the posture of the safety helmet through a gyroscope, when the safety helmet is detected to be in an unconventional angle, if the top of the safety helmet faces to the horizontal direction or even faces downwards, the person is considered to possibly fall down, in order to further improve the detection accuracy, the auxiliary detection can be carried out by combining the data of the acceleration sensor, the falling detection module detects through an infrared sensor, when the user waits for the safety helmet, the head of the user is detected through the infrared sensor positioned inside the safety helmet, and then the detection is realized. The feed detection module mainly detects the battery power condition of the safety helmet, and generates a feed abnormal signal when the battery power of the safety helmet is lower than a preset value. The intelligent safety helmet is also used for sending the data detected by each module and the judgment result to the server.
The portable detection device is used for detecting the gas concentration in the gas area and uploading the gas concentration to the server, and the portable detection device is also used for alarming and reminding when the abnormal gas concentration is detected. Workshop check out test set and portable check out test set are carbon monoxide detector, and workshop check out test set passes through the PLC controller and passes through wired network with the carbon monoxide concentration data of gathering, send to the server like RS485 bus or RJ45 net twine, and the PLC controller is opened and close according to carbon monoxide concentration control alarm module, and alarm module includes warning light and bee calling organ. The portable detection device adopts the design scheme of the existing portable carbon monoxide detector, is provided with a display screen and a buzzer and is used for displaying and alarming, and is also integrated with a WiFi module, so that the detection result can be uploaded to a server through a wireless WiFi network.
The server comprises a data center and a service platform, the data center is used for storing data uploaded by each device, and the data center is divided into an enterprise basic database, a device basic database, an alarm and processing database, a personnel basic database and a device operation and maintenance database according to storage contents. The enterprise basic database stores three-dimensional data of an enterprise production workshop, and in the embodiment, software such as Skyline Global, EV-Global and the like is used for realizing GIS and three-dimensional modeling of the workshop. The equipment basic database stores basic data of equipment related to the gas area. The alarm and processing database stores data of gas alarm, personnel safety alarm and alarm processing. The personnel basic database stores personal information of workers and managers. The equipment operation and maintenance database is used for storing operation and maintenance data of gas regional equipment and personnel safety protection equipment.
The service platform comprises:
the alarm module is used for judging whether collision, falling, uncapping, stillness and feeding abnormity exist or not according to data uploaded by the intelligent safety helmet and sending alarm prompt to the monitoring end when the abnormity is detected;
and the positioning module is used for acquiring the positions and the tracks of the personnel in the gas area according to the data uploaded by the positioning service equipment.
The system comprises a prediction module, a prediction module and an alarm module, wherein the prediction module is used for establishing a gas prediction model according to historical data of workshop detection equipment and portable detection equipment, the prediction module is also used for predicting the gas concentration in a gas area according to the data of the workshop detection equipment and the portable detection equipment and the prediction model, and the alarm module is also used for sending a predictive alarm to a supervision terminal according to the prediction result of the gas concentration in the gas area. In the embodiment, the prediction model is based on a classification model and a regression model, and adopts a prediction model based on a BP neural network, wherein the prediction model comprises an input layer, a hidden layer and an output layer; the present embodiment uses the following formula to determine the number of hidden nodes:
wherein l is the number of nodes of the hidden layer, n is the number of nodes of the input layer, m is the number of nodes of the output layer, and a is a number between 1 and 10. BP neural networks typically employ Sigmoid differentiable functions and linear functions as the excitation function of the network. In this embodiment, tansig function is used as the excitation function of hidden layer neurons. The prediction model selects an S-shaped logarithmic function tansig as an excitation function of neurons of an output layer, and the existing data are used as a sample pair for training. By passingThe change of the gas concentration within 12 hours is predicted by using the prediction model.
And the path planning module is used for generating an accident handling path according to the workshop three-dimensional model, the position and the track of personnel, and the detection results of the workshop detection equipment and the portable detection equipment when the alarm module sends the alarm prompt, and sending the accident handling path to the monitoring end. In the embodiment, the emergency path generated according to the three-dimensional model of the workshop is stored in the data center, the path planning module selects three paths which are shortest when the emergency path reaches the position of a person according to the position of the person, and then the danger coefficients of the three paths are evaluated according to the gas concentrations of all points of the three paths; and sending the three paths to a monitoring end, and simultaneously sending the estimated time and the risk coefficient of the three paths for the selection of a monitoring person.
The personnel verification detection module is used for detecting and verifying the identity and qualification of personnel and carrying equipment through the camera, the network service equipment and the positioning service equipment when the personnel enter a gas area, and alarming and reminding are carried out if the verification is not passed.
The personnel verification module comprises an identity qualification verification module, a personnel equipment verification module and a personnel quantity verification module, the identity qualification verification module performs identity recognition through a face image acquired by the camera, the identity qualification verification module is further used for acquiring the access authority and the training qualification of personnel according to an identity recognition result, and the identity qualification verification module is further used for verifying whether a user is entitled to enter the gas area according to the access authority and the training qualification; the personal equipment verification module is used for detecting and verifying whether a user wears the specified personal wearing equipment, in the embodiment, whether the user wears a safety helmet is judged through the video of the camera, and whether the portable detection equipment and the intelligent glasses are carried is judged through the WiFi AP base station; the personnel number verification module is used for detecting the number of personnel entering the gas area according to the data of the camera, the network service equipment and the positioning service equipment and verifying whether the number of the personnel is within a preset range.
The monitoring end is connected with the server network and used for receiving and displaying the alarm prompt and displaying video data, personnel positions or personnel tracks in the gas area. The monitor end is also used for displaying the accident handling path. The monitoring terminal is a mobile phone, a tablet or a computer and the like.
The intelligent glasses are used for scanning ID numbers of the devices in the gas area of the workshop, in the embodiment, two-dimensional codes are arranged on each device or each instrument, the intelligent glasses acquire the ID numbers of the devices by scanning the two-dimensional codes, and the intelligent glasses are further used for acquiring and displaying data, operation manuals and maintenance manuals of the corresponding devices from the server according to the ID numbers. The path planning module is further used for sending the accident handling path to the intelligent glasses, the intelligent glasses are further used for receiving and displaying the accident handling path, and in the implementation, the intelligent glasses further comprise a voice module used for carrying out voice communication with the supervision terminal through the server. In the embodiment, the smart glasses are provided with a WiFi/4G/5G module, and in other embodiments of the application, the smart glasses are connected with a mobile phone of a user and are connected with a server through a mobile network or a wireless network of the mobile phone of the user.
Example two
As shown in fig. 3, a difference between the present embodiment and the first embodiment is that, in the present embodiment, the service platform includes an apparatus information query module, a voice module, and a video module, the apparatus information query module is configured to obtain apparatus information according to an apparatus ID sent by the smart glasses, the voice module is configured to establish a voice call between the smart glasses and the supervisor, and the video module is configured to establish a video call between the smart glasses and the supervisor;
the monitoring end is used for carrying out voice call or video call with the intelligent glasses through the server, and is also used for inquiring and displaying data of the data center to the server for management personnel or experts to use.
The server further comprises a workshop GIS three-dimensional data acquisition module, a fault inference module, a solution matching generation module, an expert matching module and a navigation module, wherein the workshop GIS three-dimensional data acquisition module is used for acquiring workshop GIS three-dimensional data and sending the workshop GIS three-dimensional data to the intelligent glasses, and the intelligent glasses are used for displaying a workshop GIS three-dimensional model.
And the fault inference module is used for judging the fault type of the equipment in the gas area according to the equipment information. The operation and maintenance personnel are helped to judge the fault type, and the operation and maintenance efficiency is further improved. And the fault inference module also adopts a neural network model, takes the equipment information as input and outputs the inference result of the corresponding fault type. And (4) training and iterating by using the historical fault records as a training set to form an accurate inference model.
The solution matching generation module is used for matching corresponding solutions from the problem solution database according to the equipment information and the fault types, and is also used for sending the matched solutions to the intelligent glasses which are also used for displaying the solutions. The solutions are automatically matched through the solution matching generation module, so that operation and maintenance personnel can conveniently perform fault treatment.
The solution matching generation module comprises a fault type similarity calculation module, an equipment information similarity calculation module and a screening module, wherein the fault type similarity calculation module is used for calculating the similarity between the fault type corresponding to each solution in the problem solution database and the current fault type; the device information similarity calculation module is used for calculating the similarity between the device information corresponding to each solution in the problem solution database and the current device information; the screening module is configured to score the matching degree of each solution according to the similarity of the fault type and the similarity of the device information. And screening the solution of the first three matching degrees and sending the solution to the intelligent glasses. Matching is performed based on the fault type and the equipment information, and the screened solution is ensured to be close to the current fault.
The expert matching module is used for screening experts matched with current equipment information and fault types based on the equipment information, fault types and expert information according to the request of the intelligent glasses, information of each data expert is stored in the data center, such as the field of adept equipment, fault removal experience and the like, the experts are matched according to the equipment information and the fault types, the grades of each expert on the current faults and the equipment are calculated in a similarity calculation mode, the expert with the highest grade is screened out according to the grades, and a video call request is sent to a supervision terminal of the corresponding expert through the video module. And video call is carried out according to the fault type and the equipment matching expert, so that remote guidance is carried out, and the operation and maintenance efficiency is improved.
The navigation module is used for generating a navigation route according to the request of the intelligent glasses and the position of the positioning tag and sending the navigation route to the intelligent glasses, and the intelligent glasses are further used for displaying and broadcasting the navigation route.
EXAMPLE III
The embodiment is different from the second embodiment in that the embodiment further includes a distance detection module, the distance detection module is configured to detect a distance between each positioning tag in the gas area, and calculate a closest distance between each positioning tag and another positioning tag, that is, a distance between a positioning tag and a positioning tag closest to the positioning tag, and the alarm module is further configured to send an alarm prompt to the smart glasses corresponding to the positioning tags when it is detected that the closest distance between a certain positioning tag and another positioning tag is greater than a preset value. The distance between each person is detected through the distance detection module, and then the person is prevented from being disjointed with other persons.
Example four
The difference between this embodiment and the third embodiment lies in that, in this embodiment, the smart glasses are provided with a direction sensor for detecting the facial orientation of the wearer, and further include a path conversion module for converting the navigation route and the accident handling path into a direction indication sequence, and the smart glasses are further configured to determine whether the facial orientation of the wearer is correct according to the direction indication sequence, and display through the smart glasses, in this embodiment, if the facial orientation of the wearer is correct, a green indication is displayed, otherwise, a red indication is displayed. Let the user know the direction of oneself whether correct fast through the colour instruction, convert accident handling route or navigation circuit into direction indication sequence simultaneously, let the user only pay close attention to the direction can, need not to know whole route, the user of being convenient for finds the target fast, and is simple and convenient.
EXAMPLE five
The difference between this embodiment and the third embodiment is that, in this embodiment, the fault inference module is further configured to analyze whether each device or instrument in the workshop has a fault and a fault type according to the operation data of each device in the workshop and data uploaded by the workshop device, and further includes a tool recommendation module and an accessory recommendation module, the operation and maintenance tool recommendation module is configured to match a required tool kit for solving a corresponding fault according to the device information and the fault type and recommend the tool kit to an operation and maintenance person or a supervision terminal, and the accessory recommendation module is configured to match a corresponding replacement accessory list according to the device information and the fault type and recommend the replacement accessory list to the operation and maintenance person.
EXAMPLE six
The difference between the present embodiment and the fifth embodiment is that the present embodiment further includes a failure prediction module and an accessory scheduling module. The fault prediction module predicts possible faults according to operation data, equipment information and fault maintenance history of each piece of equipment in a workshop, the equipment information comprises equipment batch information and service time information, the fault prediction module also adopts a BP neural network model, the operation data, the equipment batch information, the equipment service time information, the fault history information, the fault maintenance history of the equipment in the same type and the fault maintenance history of the equipment in the same batch of the current workshop are used as model input, a prediction result is output, the prediction result comprises the fault time and the fault type of the current equipment, and if 80% of the equipment in the same batch and the same type have faults of a certain part, the fault prediction module can predict that the corresponding part of the current equipment has a higher probability of also having faults after a certain time. The prediction model can be iteratively trained along with the increase of historical data so as to improve the accuracy. The accessory recommending module is also used for generating a corresponding replacement accessory list according to the prediction result. And the accessory scheduling module is used for judging whether corresponding accessory inventory exists according to the replacement accessory list and scheduling in advance when judging that the inventory is insufficient.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (9)
1. Regional personnel safety protection system of coal gas in workshop, its characterized in that: the system comprises workshop equipment, personnel wearing equipment, a server and a monitoring end;
the workshop equipment comprises a camera and positioning service equipment, and the camera is used for acquiring image data in a gas area and sending the image data to the server; the positioning service equipment is used for positioning the personnel wearing equipment in the gas area and sending the positioning data to the server;
the personnel wearing equipment comprises an intelligent safety helmet and personnel positioning equipment, and the personnel positioning equipment is used for positioning the positioning service equipment; the intelligent safety helmet comprises an impact detection module, a falling detection module, a uncapping detection module, a static detection module and a feed detection module, and is also used for sending detected data to a server;
the server comprises a data center and a service platform, wherein the data center is used for storing data uploaded by each device, and the service platform comprises:
the alarm module is used for judging whether collision, falling, uncapping, stillness and feeding abnormity exist or not according to data uploaded by the intelligent safety helmet and sending alarm prompt to the monitoring end when the abnormity is detected;
the positioning module is used for acquiring the positions and the tracks of the personnel in the gas area according to the data uploaded by the positioning service equipment;
the personnel wearing equipment further comprises intelligent glasses, the intelligent glasses are used for scanning the ID numbers of the equipment in the workshop gas area, and the intelligent glasses are further used for acquiring and displaying data, an operation manual and a maintenance manual of the corresponding equipment from the server according to the ID numbers;
the service platform comprises an equipment information query module, a voice module and a video module, wherein the equipment information query module, the voice module and the video module are used for acquiring equipment information according to an equipment ID (identity) sent by the intelligent glasses;
the monitoring end is used for carrying out voice call or video call with the intelligent glasses through the server, and is also used for inquiring and displaying data of the data center to the server for management personnel or experts to use;
the server also comprises a workshop GIS three-dimensional data acquisition module, a fault inference module, a solution matching generation module, an expert matching module and a navigation module, wherein the workshop GIS three-dimensional data acquisition module is used for acquiring workshop GIS three-dimensional data and sending the workshop GIS three-dimensional data to the intelligent glasses, and the intelligent glasses are used for displaying a workshop GIS model;
the fault inference module is used for judging the fault type of equipment in the gas area according to the equipment information;
the solution matching generation module is used for matching a corresponding solution from the problem solution database according to the equipment information and the fault type, and is also used for sending the matched solution to the intelligent glasses which are also used for displaying the solution;
the expert matching module is used for screening experts matched with the current equipment information and fault type based on the equipment information, fault type and expert information according to the request of the intelligent glasses;
the navigation module is used for generating a navigation route according to the request of the glasses and the position of the positioning tag and sending the navigation route to the intelligent glasses, and the intelligent glasses are further used for displaying and broadcasting the navigation route.
2. The safety protection system for personnel in a gas area in a workshop as claimed in claim 1, wherein: the workshop equipment also comprises workshop detection equipment, and the workshop detection equipment is used for detecting the gas concentration in the gas area and uploading the detection result to the server through a network; the workshop detection equipment is also used for sending out an alarm prompt when the gas concentration data in the gas area of the workshop are detected to be abnormal.
3. The system for the safety protection of personnel in a gas area in a workshop according to claim 2, characterized in that: personnel wearing equipment still includes portable check out test set, portable check out test set is used for detecting and uploading to the server the coal gas concentration in the coal gas region, portable check out test set still is used for carrying out the alarm when detecting that coal gas concentration is unusual and reminds.
4. The system for the safety protection of personnel in a gas area in a workshop according to claim 3, characterized in that: the service platform further comprises a prediction module, the prediction module is used for establishing a gas prediction model according to historical data of the workshop detection equipment and the portable detection equipment, the prediction module is further used for predicting the gas concentration in the gas area according to the data of the workshop detection equipment and the portable detection equipment and the prediction model, and the alarm module is further used for sending a predictive alarm to the supervision terminal according to the prediction result of the gas concentration in the gas area.
5. The system for the safety protection of personnel in a gas area in a workshop according to claim 4, characterized in that: the data center further stores a workshop three-dimensional model, the service platform further comprises a path planning module, the path planning module is used for generating an accident handling path according to the workshop three-dimensional model, the positions and the tracks of the personnel, and the detection results of the workshop detection equipment and the portable detection equipment when the alarm module sends an alarm prompt, and sending the accident handling path to the monitoring end, and the monitoring end is further used for displaying the accident handling path.
6. The system for the safety protection of personnel in a gas area in a workshop according to claim 5, characterized in that: the path planning module is further used for sending the accident handling path to the intelligent glasses, and the intelligent glasses are further used for receiving and displaying the accident handling path.
7. The system for personnel safety protection in gas areas in workshops according to claim 6, characterized in that: personnel positioning device sets up on intelligent safety helmet, intelligent glasses or portable check out test set.
8. The safety protection system for personnel in a gas area in a workshop as claimed in claim 7, wherein: the service platform comprises a personnel verification module, the personnel verification detection module is used for detecting and verifying the identity and qualification of personnel and carrying equipment through a camera, network service equipment and positioning service equipment when the personnel enter a gas area, and alarming and reminding are carried out if the verification is not passed.
9. The system for personnel safety protection in gas areas in workshops according to claim 8, characterized in that: the personnel verification module comprises an identity qualification verification module, a personnel equipment verification module and a personnel quantity verification module, the identity qualification verification module performs identity recognition through a face image acquired by a camera, the identity qualification verification module is further used for acquiring the access authority and the training qualification of personnel according to an identity recognition result, and the identity qualification verification module is further used for verifying whether a user is entitled to enter the gas area according to the access authority and the training qualification;
the personnel equipment verification module is used for detecting and verifying whether a user wears the specified personnel wearing equipment;
the personnel number verification module is used for detecting the number of personnel entering a gas area according to the data of the camera, the network service equipment and the positioning service equipment and verifying whether the number of the personnel is within a preset range.
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| CN113721564A (en) * | 2021-07-29 | 2021-11-30 | 太原重工股份有限公司 | Intelligent workshop safety management system |
| CN113744506A (en) * | 2021-09-08 | 2021-12-03 | 华帝股份有限公司 | Gas leakage alarm method, intelligent gas equipment and wearable equipment |
| CN113903114A (en) * | 2021-09-14 | 2022-01-07 | 合肥佳讯科技有限公司 | Method and system for supervising personnel in dangerous goods operation place |
| CN113838565A (en) * | 2021-09-24 | 2021-12-24 | 中国科学院近代物理研究所 | Intelligent operation and maintenance device and method for controlling medical heavy ion accelerator |
| CN114821959A (en) * | 2022-06-08 | 2022-07-29 | 江苏红光仪表厂有限公司 | Intelligent special operation protection monitoring alarm system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101240717A (en) * | 2007-02-07 | 2008-08-13 | 中国科学院自动化研究所 | Coal mine down-hole personnel positioning and mash gas concentration dynamic monitoring method and system |
| CN102798389A (en) * | 2012-07-16 | 2012-11-28 | 山东中创软件商用中间件股份有限公司 | Method and system for personnel location |
| CN108731682A (en) * | 2018-04-25 | 2018-11-02 | 江南大学 | A kind of path planning system and method applied to underground mine rescue |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100081411A1 (en) * | 2008-09-29 | 2010-04-01 | John Mathew Montenero, III | Multifunctional telemetry alert safety system (MTASS) |
| CN102913276B (en) * | 2012-11-01 | 2015-07-15 | 中滦科技有限公司 | System and method for generating urgent danger prevention dynamic route |
| EP3349195A1 (en) * | 2017-01-16 | 2018-07-18 | Repsol, S.A. | Device for reporting alarm produced by a portable gas detector |
| CN107503797B (en) * | 2017-08-25 | 2019-04-16 | 合肥明信软件技术有限公司 | Mine Methane tendency early warning system based on 3D emulation platform |
| CN107701234A (en) * | 2017-09-01 | 2018-02-16 | 郭亚晋 | A kind of intelligent mine supervisory systems |
| CN110685750B (en) * | 2019-10-23 | 2021-07-13 | 陕西煤业化工技术研究院有限责任公司 | Mine disaster megaevent monitoring and early warning system and method |
-
2020
- 2020-11-30 CN CN202011375282.5A patent/CN112532727B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101240717A (en) * | 2007-02-07 | 2008-08-13 | 中国科学院自动化研究所 | Coal mine down-hole personnel positioning and mash gas concentration dynamic monitoring method and system |
| CN102798389A (en) * | 2012-07-16 | 2012-11-28 | 山东中创软件商用中间件股份有限公司 | Method and system for personnel location |
| CN108731682A (en) * | 2018-04-25 | 2018-11-02 | 江南大学 | A kind of path planning system and method applied to underground mine rescue |
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