CN113850967A - Railway wagon operation safety and fault early warning system based on coal loading system - Google Patents
Railway wagon operation safety and fault early warning system based on coal loading system Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/19—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using infrared-radiation detection systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G67/00—Loading or unloading vehicles
- B65G67/02—Loading or unloading land vehicles
- B65G67/04—Loading land vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G69/00—Auxiliary measures taken, or devices used, in connection with loading or unloading
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
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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
- G08B25/012—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 recorded signals, e.g. speech
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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Abstract
The invention discloses a railway wagon operation safety and fault early warning system based on a coal loading system, which is used for solving the problems that the traditional safety warning mode can not meet the development requirements of current safety and intellectualization, and the intellectualization degree is low and the early warning can not be better realized; when the sensing unit detects that the person tends to approach the dangerous area, the audible and visual alarm firstly sends out a sound early warning signal to enable the person to leave, and if the person continues to approach the dangerous area and enters the warning area, the audible and visual alarm sends out a sound and an optical warning signal to drive the person to leave; simultaneously, sound and light of the audible and visual alarm are adjusted according to the position of a person, so that the person can clearly receive early warning sound and light, the phenomenon that the sound is too big, the ears of the person are damaged, the sound is too small, the light intensity is small, and better early warning reminding cannot be achieved is avoided.
Description
Technical Field
The invention relates to the technical field of railway wagon operation safety and fault early warning, in particular to a railway wagon operation safety and fault early warning system based on a coal loading system.
Background
Along with the continuous development of scientific technology and the continuous improvement of safety guarantee standards, the requirements on the personnel safety and the early warning performance of fault equipment of a loading system are higher and higher, better social benefits are emphasized, a first safe development concept is firmly established all the time, and compared with the loading system, the traditional safety warning mode can not meet the development requirements of current safety and intelligence far away, and the safety and fault early warning system with low intelligent degree and no better early warning is needed to be established urgently.
Disclosure of Invention
The invention aims to provide a railway wagon operation safety and fault early warning system based on a coal loading system in order to solve the problems that the traditional safety warning mode can not meet the development requirements of current safety and intelligence and has low intelligence degree and can not perform better early warning.
The purpose of the invention can be realized by the following technical scheme: the railway wagon operation safety and fault early warning system based on the coal loading system comprises a data acquisition module, a database, an intelligent decision control layer, an edge sensing control node and an intelligent application layer; the data acquisition module is used for acquiring running state data of equipment and a railway wagon in the coal loading system and uploading the running state data to a database;
the edge sensing and controlling node comprises a sensing unit, an audible and visual alarm, a main control unit and a wired communication unit; the sensing unit is used for acquiring sensing data in a safety alert loading area in real time and transmitting the sensing data to the main control unit; the main control unit is used for transmitting the received sensing data to a database through the wired communication unit and analyzing the sensing data in real time to obtain an analysis result; receiving an alarm starting instruction sent by the intelligent decision control layer through the wired communication unit, and controlling an audible and visual alarm to perform personnel early warning according to the alarm starting instruction and an analysis result; the sensing data comprises video data and infrared signal data of a safety alert loading area;
the intelligent decision control layer consists of an equipment fault early warning analysis model, a fault early warning intelligent calculation model, a fault early warning intelligent decision model and a fault early warning intelligent control model, and is used for analyzing the sensing data and the running state data of the equipment and the railway freight car to generate control instruction data, sending the control instruction data to a database for storage, and sending the control instruction data to the main control unit through the database; the control instruction data comprises an alarm starting instruction and an equipment emergency braking instruction;
the intelligent application layer is used for displaying the sensing data, the equipment and the running state data of the railway wagon and the control instruction data in the database in real time through a human-computer interaction interface, and sending the change and confirmation of the sensing data, the equipment and the running state data of the railway wagon and the control instruction data to the intelligent decision control layer by workers;
as an embodiment of the invention, the sensing unit comprises a camera detection module and an infrared detection module, wherein the camera detection module is used for acquiring video data of a safety alert loading area in real time; the infrared detection module is used for acquiring infrared signal data of the safety warning loading area in real time;
as an embodiment of the present invention, the main control unit includes a personnel intrusion analysis module and a personnel warning intelligent control module; the personnel intrusion analysis module is used for identifying personnel on the sensing data, and generating a personnel early warning signaling and sending the signaling to the personnel early warning intelligent control module when identifying that personnel exist in the video data of the safety alert loading area or the infrared signal data of the safety alert loading area; the personnel early warning signaling comprises a personnel identification instruction, the position of personnel in a safety warning loading area, the time length of the personnel in the safety warning loading area and the quantity of the personnel;
personnel warn intelligent control module and be used for receiving personnel's early warning signaling and carry out personnel's early warning, and concrete early warning process is: calculating the position distance between the position of a person in a safety warning loading area and the position of the audible and visual alarm to obtain a warning distance, and acquiring the current illumination intensity of the position where the audible and visual alarm is located; normalizing the time length, the number and the alert distance of the personnel in the safety alert loading area, and taking the normalized numerical values of the time length, the number and the alert distance as GT1, GM1 and GD 1;
obtaining an early warning sound value MF by using a formula MF (GT1 Xgf 1+ GM1 Xgf 2+ GD1 Xgf 3-1.47)/(2gf1+ gf2), wherein gf1, gf2 and gf3 are all preset weight factors; setting the early warning sound of the audible and visual alarm to comprise a plurality of alarm sound volumes, wherein each alarm sound volume corresponds to a preset value range; matching the early warning sound value with all preset value ranges, and marking the warning sound quantity corresponding to the preset value range as a control sound quantity when the early warning sound value is in the preset value range;
setting the alarm brightness of the audible and visual alarm to comprise a plurality of brightness levels, wherein each brightness level corresponds to a preset brightness range; matching the current illumination intensity of the position where the audible and visual alarm is located with a preset brightness range to obtain a corresponding brightness level, and marking the alarm brightness corresponding to the brightness level as control brightness;
the intelligent personnel warning control module controls the audible and visual alarm to carry out personnel early warning according to the control sound volume and the control brightness, so that the alarm sound volume of the audible and visual alarm is consistent with the sound volume corresponding to the control sound volume, and meanwhile, the alarm brightness of the audible and visual alarm is consistent with the control brightness.
As an embodiment of the present invention, a data distribution module is included in the intelligent decision control layer; the data distribution module is used for counting the data volume of the sensing data, the equipment and the running state data of the railway wagon; when the data volume is larger than a set data volume threshold value, the intelligent decision control layer marks the sensing data and the equipment which exceed the data volume threshold value and the running state data of the railway wagon as data to be distributed, and distributes the data to be distributed with a plurality of equal parts of branch data; acquiring all registered terminals, screening the registered terminals according to the branch data, and marking the registered terminals with the processing types consistent with the branch data as primary selection terminals; acquiring terminal parameters of the initially selected terminal; the terminal parameters comprise a data valid value JX1, a terminal value JX2 and a data waiting amount JX 3; carrying out normalization processing on terminal parameters, and obtaining a best value JY of the initially selected terminal by using a formula JY ═ JX1 × KS1+ JX2 × KS2-JX3 × KS3, wherein KS1, KS2 and KS3 are all preset weight factors; sending the branch data to a primary selection terminal with the maximum optimal value for data analysis, and simultaneously increasing one to-be-detected data volume of the primary selection terminal; and after the primary selection terminal with the maximum optimal value receives the branch data, analyzing the branch data to generate corresponding control instruction data and feeding the control instruction data back to the intelligent decision control layer, and simultaneously reducing the data waiting amount of the primary selection terminal by one.
As an implementation manner of the present invention, the intelligent decision control layer further includes a registration login module and an end value analysis module;
the registration login module is used for submitting terminal information for registration by railway staff through a computer terminal and sending the terminal information which is successfully registered to the database for storage; meanwhile, the computer terminal which is successfully registered is marked as a registered terminal, and the intelligent decision control layer and the computer terminal are in communication connection with the registered terminal through a 5G network or an optical fiber so as to realize data exchange; the terminal information comprises the position and the model of the computer terminal, a communication number and a processing type, wherein the processing type is the operation state data of the processing equipment and the railway wagon after processing the sensing data;
the end value analysis module is used for analyzing the terminal information of the registered terminal to obtain an end base value of the registered terminal and sending the end base value to the database for storage; the specific analysis process is as follows:
sending a rapid test signaling to the registered terminal to acquire the upload rate and download rate data of the registered terminal, and analyzing the upload rate and download rate data to obtain the data upload rate mean value and download rate mean value of the registered terminal; calculating the distance difference between the position of the registered terminal and the position of the intelligent decision control layer to obtain a transmission distance; setting the models of all the computer terminals to correspond to a preset terminal model value, and matching the models of the registered terminals with the models of all the computer terminals to obtain corresponding preset terminal model values; normalizing the uploading rate mean value, the downloading rate mean value, the transmission distance and the preset terminal model value, taking the four normalized values, and respectively marking the four values as XZ1, XZ2, XZ3 and XZ 4; using formulas
Obtaining an end group value JX2 of the registered terminal; wherein, b1, b2, b3 and b4 are all preset weighting factors.
As an implementation manner of the present invention, the intelligent decision control layer further includes a data-efficiency analysis module, where the data-efficiency analysis module is configured to collect and analyze a first time point when the first selection terminal receives the branch data, a second time point when the control instruction data is fed back, and a total number of times when the first selection terminal receives the branch data, calculate a time difference between the first time point and the second time point to obtain a single processing duration of the first selection terminal, extract a value of the single processing duration and mark the value as dtt, and substitute the value into a formula
Obtaining a single processing value TF, summing all single processing values of the initially selected terminal, taking the average value to obtain a processing average value, and marking the processing average value as TZ 1; marking the total times of the primary selection terminal receiving the branch data as TZ 2; mean and total number of treatmentsCarrying out normalization processing and taking a numerical value, and obtaining a data effective value JX1 of the initially selected terminal by using a formula JX1 which is TZ1 multiplied by 1.3+ TZ2 multiplied by 0.6; sending the data valid value JX1 to a database for storage; and when the initial selection terminal is initially registered, the effective value and the value to be measured are zero.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the intelligent decision layer acquires sensing data from the database according to the requirements and then generates a control decision instruction, thereby realizing the whole intelligent safety early warning of the loading system; acquiring state data from a database according to requirements to generate a control decision instruction, so as to realize early warning of the intelligent agent equipment failure;
2. when the sensing unit detects that the person tends to approach the dangerous area, the audible and visual alarm firstly sends out a sound early warning signal to enable the person to leave, and if the person continues to approach the dangerous area and enters the warning area, the audible and visual alarm sends out a sound and an optical warning signal to drive the person to leave; simultaneously, sound and light of the audible and visual alarm are adjusted according to the position of a person, so that the person can clearly receive early warning sound and light, the phenomenon that the sound is too big, the ears of the person are damaged, the sound is too small, the light intensity is small, and better early warning reminding cannot be achieved is avoided.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall block diagram of the present invention;
FIG. 2 is a schematic block diagram of an edge sensing and controlling node according to the present invention;
FIG. 3 is a block diagram of an intelligent decision control layer of the present invention;
FIG. 4 is a schematic view of the installation of the audible and visual alarm of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the railway wagon operation safety and fault early warning system based on the coal loading system comprises a data acquisition module, a database, an intelligent decision control layer, an edge sensing control node and an intelligent application layer;
the data acquisition module is used for acquiring running state data of equipment and a railway wagon in the coal loading system and uploading the running state data to a database;
referring to fig. 2, the edge sensing and controlling node includes a sensing unit, an audible and visual alarm, a main control unit and a wired communication unit;
the sensing unit comprises a camera detection module and an infrared detection module, and the camera detection module is used for acquiring video data of a safety alert loading area in real time; the infrared detection module is used for acquiring infrared signal data of the safety warning loading area in real time;
referring to fig. 4, the infrared detection module is two groups of infrared sensors respectively installed on both sides of the train track, a virtual tripwire is generated between the two infrared sensors facing each other, and an audible and visual alarm is installed between the camera modules;
the main control unit is used for transmitting the received sensing data to the database through the wired communication unit and analyzing the sensing data in real time to obtain an analysis result; receiving an alarm starting instruction sent by the intelligent decision control layer through the wired communication unit, and controlling an audible and visual alarm to perform personnel early warning according to the alarm starting instruction and an analysis result; the sensing data comprises video data and infrared signal data of a safety alert loading area;
the intelligent decision control layer is composed of an equipment fault early warning analysis model, a fault early warning intelligent calculation model, a fault early warning intelligent decision model and a fault early warning intelligent control model, and is used for analyzing the sensing data and the running state data of the equipment and the railway freight car to generate control instruction data, sending the control instruction data to the database for storage, and sending the control instruction data to the main control unit through the database; the control instruction data comprises an alarm starting instruction and an equipment emergency braking instruction;
the intelligent application layer is used for displaying the sensing data, the equipment and the running state data of the railway wagon and the control instruction data in the database in real time through a human-computer interaction interface, and sending the change and confirmation of the sensing data, the equipment and the running state data of the railway wagon and the control instruction data to the intelligent decision control layer by workers;
the main control unit comprises a personnel intrusion analysis module and a personnel warning intelligent control module; the personnel intrusion analysis module is used for identifying personnel on the sensing data, and generating a personnel early warning signaling and sending the signaling to the personnel warning intelligent control module when identifying that personnel exist in the video data of the safety alert loading area or the infrared signal data of the safety alert loading area; the personnel early warning signaling comprises a personnel identification instruction, the position of personnel in a safety warning loading area, the time length of the personnel in the safety warning loading area and the quantity of the personnel; the person identification method is that an acquisition module disclosed in patent CN109544838B is used for acquiring field video information, the acquisition module is used for sending the field video information to a person identification module, and the person identification module is used for receiving the field video information and identifying whether suspicious persons appear on the field according to the field video information; the method is used for judging whether personnel exist in the video data and the number of frames of the personnel, and further judging the duration of the personnel;
personnel warn intelligent control module and be used for receiving personnel's early warning signaling and carry out personnel's early warning, and concrete early warning process is: calculating the position distance between the position of a person in a safety warning loading area and the position of the audible and visual alarm to obtain a warning distance, and acquiring the current illumination intensity of the position where the audible and visual alarm is located; normalizing the time length, the number and the alert distance of the personnel in the safety alert loading area, and taking the normalized numerical values of the time length, the number and the alert distance as GT1, GM1 and GD 1;
obtaining an early warning sound value MF by using a formula MF (GT1 Xgf 1+ GM1 Xgf 2+ GD1 Xgf 3-1.47)/(2gf1+ gf2), wherein gf1, gf2 and gf3 are all preset weight factors; setting the early warning sound of the audible and visual alarm to comprise a plurality of alarm sound volumes, wherein each alarm sound volume corresponds to a preset value range; matching the early warning sound value with all preset value ranges, and marking the warning sound quantity corresponding to the preset value range as a control sound quantity when the early warning sound value is in the preset value range;
setting the alarm brightness of the audible and visual alarm to comprise a plurality of brightness levels, wherein each brightness level corresponds to a preset brightness range; matching the current illumination intensity of the position where the audible and visual alarm is located with a preset brightness range to obtain a corresponding brightness level, and marking the alarm brightness corresponding to the brightness level as control brightness;
the intelligent personnel warning control module controls the audible and visual alarm to carry out personnel early warning according to the control sound volume and the control brightness, so that the alarm sound volume of the audible and visual alarm is consistent with the sound volume corresponding to the control sound volume, and meanwhile, the alarm brightness of the audible and visual alarm is consistent with the control brightness; when the sensing unit detects that the person tends to approach a dangerous area, the audible and visual alarm firstly sends out a sound early warning signal to enable the person to leave, and if the person continues to approach the dangerous area and enters a warning area, the audible and visual alarm sends out a sound and optical warning signal to drive the person to leave; meanwhile, the sound and light of the audible and visual alarm are adjusted according to the position of a person, so that the person can clearly receive early warning sound and light, and the phenomenon that the ear of the person is damaged due to overlarge sound, the sound is too small, the light intensity is small, and better early warning reminding cannot be achieved is avoided;
referring to fig. 3, the intelligent decision control layer includes a data distribution module, a registration module, an end value analysis module, and a data effect analysis module;
the data distribution module is used for counting the data volume of the sensing data, the equipment and the running state data of the railway wagon; when the data volume is larger than a set data volume threshold value, the intelligent decision control layer marks the sensing data and the equipment which exceed the data volume threshold value and the running state data of the railway wagon as data to be distributed, and distributes the data to be distributed with a plurality of equal parts of branch data; acquiring all registered terminals, screening the registered terminals according to the branch data, and marking the registered terminals with the processing types consistent with the branch data as primary selection terminals; acquiring terminal parameters of the initially selected terminal; the terminal parameters comprise a data valid value JX1, a terminal value JX2 and a data waiting amount JX 3; carrying out normalization processing on terminal parameters, and obtaining a best value JY of the initially selected terminal by using a formula JY ═ JX1 × KS1+ JX2 × KS2-JX3 × KS3, wherein KS1, KS2 and KS3 are all preset weight factors; the value can be 2.3, 1.7 and 1.5; the higher the figure of merit is, the higher the probability of processing branch data by the primary selection terminal is;
sending the branch data to a primary selection terminal with the maximum optimal value for data analysis, and simultaneously increasing one to-be-detected data volume of the primary selection terminal; after the primary selection terminal with the maximum figure of merit receives the branch data, analyzing the branch data to generate corresponding control instruction data and feeding the control instruction data back to the intelligent decision control layer, and simultaneously reducing the data waiting amount of the primary selection terminal by one;
the registration login module is used for submitting terminal information for registration by railway staff through a computer terminal and sending the terminal information which is successfully registered to the database for storage; meanwhile, the computer terminal which is successfully registered is marked as a registered terminal, and the intelligent decision control layer and the computer terminal are in communication connection with the registered terminal through a 5G network or an optical fiber so as to realize data exchange; the terminal information comprises the position and the model of the computer terminal, a communication number and a processing type, wherein the processing type is the operation state data of the processing equipment and the railway wagon after processing the sensing data;
the end value analysis module is used for analyzing the terminal information of the registered terminal to obtain an end base value of the registered terminal and sending the end base value to the database for storage; the specific analysis process is as follows:
sending a rapid test signaling to the registered terminal to acquire the upload rate and download rate data of the registered terminal, and analyzing the upload rate and download rate data to obtain the data upload rate mean value and download rate mean value of the registered terminal; calculating the distance difference between the position of the registered terminal and the position of the intelligent decision control layer to obtain a transmission distance; setting the models of all the computer terminals to correspond to a preset terminal model value, and matching the models of the registered terminals with the models of all the computer terminals to obtain corresponding preset terminal model values; average uploading rate and average downloading rateNormalizing the transmission distance and the preset terminal model value, taking the four normalized values, and respectively marking the four values as XZ1, XZ2, XZ3 and XZ 4; using formulas
Obtaining an end group value JX2 of the registered terminal; wherein b1, b2, b3 and b4 are all preset weight factors, and the values are respectively 0.3, 0.35, 0.1 and 0.25; the larger the uploading rate mean value, the downloading rate mean value and the preset terminal model value are obtained through a formula, the larger the terminal group value is, and the higher the probability of processing branch data is; the smaller the transmission pitch, the larger the end group value;
the data efficiency analysis module is used for collecting and analyzing the first moment when the primary selection terminal receives the branch data, the second moment when the feedback control instruction data and the total times when the primary selection terminal receives the branch data, calculating the time difference between the first moment and the second moment to obtain the single processing duration of the primary selection terminal, extracting the numerical value of the single processing duration, marking the numerical value as dtt, substituting the numerical value into a formula
Obtaining a single processing value TF, summing all single processing values of the initially selected terminal, taking the average value to obtain a processing average value, and marking the processing average value as TZ 1; the method can be obtained through a formula, and the closer the single processing time is to 1.37s, the larger the corresponding single processing value is;
marking the total times of the primary selection terminal receiving the branch data as TZ 2; normalizing the processing average value and the total times, taking values, and obtaining a data effective value JX1 of the initially selected terminal by using a formula JX1 which is TZ1 multiplied by 1.3+ TZ2 multiplied by 0.6; sending the data valid value JX1 to a database for storage; when the initial selection terminal is initially registered, the data effective value and the value to be measured are zero;
the sensing unit of the edge sensing control node consists of a camera detection module and an infrared detection module, and the camera detection module and the infrared detection module transmit video streams, images and infrared detection signals acquired in real time to the side personnel intrusion analysis module through a wired transmission network; the personnel intrusion analysis module analyzes the uploaded data such as video streams, infrared signals and the like in real time and sends the analyzed result to the personnel alarm intelligent control module, and the personnel alarm intelligent control module generates a control decision instruction according to the intrusion alert analysis result and the data generated by the intelligent decision layer, so that the early warning of the audible and visual alarm for personnel is realized;
when the sensing unit detects that the personnel tends to approach the dangerous area, the audible and visual alarm firstly sends out a sound early warning signal to enable the personnel to leave, and if the personnel continuously approaches the dangerous area and enters the warning area, the audible and visual alarm sends out a sound and optical warning signal to drive the personnel to leave; the wired communication unit is responsible for uploading the analyzed sensing data to the intelligent control decision layer and transmitting a control instruction issued by the intelligent decision layer;
the intelligent decision layer is composed of equipment fault early warning analysis models, a fault early warning intelligent calculation model, a fault early warning intelligent decision model and a fault early warning intelligent control model. And each equipment fault early warning analysis model mainly carries out intelligent analysis on the received sensing data. The fault early warning intelligent calculation model further calculates the analysis data and judges whether the analysis data and the calculation model are in accordance. And the fault early warning intelligent decision model generates intelligent decision data according to the received calculation verification result. The fault early warning intelligent control model generates control instruction data, namely alarm starting instruction data and intelligent equipment emergency braking instruction data according to the intelligent decision data, and sends the control instruction data to the edge execution equipment;
the personnel alert analysis model can analyze the sensing data in real time, and the analysis result can be sent to an intelligent control strategy;
the database stores the sensing data of the edge sensing control node and the control instruction data generated by the intelligent decision control layer in real time;
the intelligent decision layer acquires sensing data from a database according to the requirements and then generates a control decision instruction, so that the integral intelligent safety early warning of the loading system is realized; the intelligent decision layer acquires state data from a database according to the requirements and then generates a control decision instruction, so that early warning of the intelligent agent equipment fault is realized;
the intelligent application layer is responsible for displaying various operation analysis data to workers on a monitoring interface in real time so as to facilitate observation and real-time operation of the workers;
the preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. The railway wagon operation safety and fault early warning system based on the coal loading system comprises a data acquisition module, a database, an intelligent decision control layer, an edge sensing control node and an intelligent application layer; the system is characterized in that the data acquisition module is used for acquiring running state data of equipment and a railway wagon in the coal loading system and uploading the running state data to a database;
the edge sensing and controlling node comprises a sensing unit, an audible and visual alarm, a main control unit and a wired communication unit; the sensing unit is used for acquiring sensing data in a safety alert loading area in real time and transmitting the sensing data to the main control unit; the main control unit is used for transmitting the received sensing data to a database through the wired communication unit and analyzing the sensing data in real time to obtain an analysis result; receiving an alarm starting instruction sent by the intelligent decision control layer through the wired communication unit, and controlling an audible and visual alarm to perform personnel early warning according to the alarm starting instruction and an analysis result;
the intelligent decision control layer is used for analyzing the sensing data, the equipment and the running state data of the railway wagon to generate control instruction data, sending the control instruction data to the database for storage, and sending the control instruction data to the main control unit through the database;
the intelligent application layer is used for displaying the sensing data, the equipment and the running state data of the railway wagon and the control instruction data in the database in real time through a human-computer interaction interface, and sending the change and confirmation of the sensing data, the equipment and the running state data of the railway wagon and the control instruction data to the intelligent decision control layer.
2. The coal loading system-based railway wagon operation safety and fault early warning system as claimed in claim 1, wherein the sensing unit comprises a camera detection module and an infrared detection module, and the camera detection module is used for acquiring video data of a safety warning loading area in real time; the infrared detection module is used for acquiring infrared signal data of the safety warning loading area in real time.
3. The coal loading system-based railway wagon operation safety and fault early warning system as claimed in claim 1, wherein the main control unit comprises a personnel intrusion analysis module and a personnel warning intelligent control module; the personnel intrusion analysis module is used for identifying personnel on the sensing data, and generating a personnel early warning signaling and sending the signaling to the personnel early warning intelligent control module when identifying that personnel exist in the video data of the safety alert loading area or the infrared signal data of the safety alert loading area;
personnel warn intelligent control module and be used for receiving personnel's early warning signaling and carry out personnel's early warning, and concrete early warning process is: calculating the position distance between the position of a person in a safety warning loading area and the position of the audible and visual alarm to obtain a warning distance, and acquiring the current illumination intensity of the position where the audible and visual alarm is located; normalizing the time length of personnel in a safety warning loading area, the personnel number and the police-reaching distance to obtain an early warning sound value; setting the early warning sound of the audible and visual alarm to comprise a plurality of alarm sound volumes, wherein each alarm sound volume corresponds to a preset value range; matching the early warning sound value with all preset value ranges, and marking the warning sound quantity corresponding to the preset value range as a control sound quantity when the early warning sound value is in the preset value range;
setting the alarm brightness of the audible and visual alarm to comprise a plurality of brightness levels, wherein each brightness level corresponds to a preset brightness range; matching the current illumination intensity of the position where the audible and visual alarm is located with a preset brightness range to obtain a corresponding brightness level, and marking the alarm brightness corresponding to the brightness level as control brightness;
the intelligent personnel warning control module controls the audible and visual alarm to carry out personnel early warning according to the control sound volume and the control brightness, so that the alarm sound volume of the audible and visual alarm is consistent with the sound volume corresponding to the control sound volume, and meanwhile, the alarm brightness of the audible and visual alarm is consistent with the control brightness.
4. The coal loading system-based railway wagon operation safety and fault early warning system as claimed in claim 1, wherein a data distribution module is included in the intelligent decision control layer; the data distribution module is used for counting the data volume of the sensing data, the equipment and the running state data of the railway wagon; when the data volume is larger than a set data volume threshold value, the intelligent decision control layer marks the sensing data and the equipment which exceed the data volume threshold value and the running state data of the railway wagon as data to be distributed, and distributes the data to be distributed with a plurality of equal parts of branch data; acquiring all registered terminals, screening the registered terminals according to the branch data, and marking the registered terminals with the processing types consistent with the branch data as primary selection terminals; acquiring terminal parameters of the initially selected terminal; the terminal parameters comprise a data effective value, a terminal value and a data volume to be detected; carrying out normalization processing on the terminal parameters to obtain the optimal value of the initially selected terminal; sending the branch data to a primary selection terminal with the maximum optimal value for data analysis, and simultaneously increasing one to-be-detected data volume of the primary selection terminal; and after the primary selection terminal with the maximum optimal value receives the branch data, analyzing the branch data to generate corresponding control instruction data and feeding the control instruction data back to the intelligent decision control layer, and simultaneously reducing the data waiting amount of the primary selection terminal by one.
5. The coal loading system-based railway wagon operation safety and fault early warning system as claimed in claim 4, wherein an end value analysis module is further included in the intelligent decision control layer;
the end value analysis module is used for analyzing the terminal information of the registered terminal to obtain an end base value of the registered terminal and sending the end base value to the database for storage; the specific analysis process is as follows:
sending a rapid test signaling to the registered terminal to acquire the upload rate and download rate data of the registered terminal, and analyzing the upload rate and download rate data to obtain the data upload rate mean value and download rate mean value of the registered terminal; calculating the distance difference between the position of the registered terminal and the position of the intelligent decision control layer to obtain a transmission distance; setting the models of all the computer terminals to correspond to a preset terminal model value, and matching the models of the registered terminals with the models of all the computer terminals to obtain corresponding preset terminal model values; and carrying out normalization processing on the uploading rate mean value, the downloading rate mean value, the transmission interval and the preset terminal model value to obtain the terminal group value of the registered terminal.
6. The coal loading system-based railway wagon operation safety and fault early warning system according to claim 5, wherein the intelligent decision control layer further comprises a data effect analysis module, the data effect analysis module is used for collecting and analyzing a first moment when the primary selection terminal receives branch data, a second moment when the primary selection terminal feeds back control instruction data and the total times when the primary selection terminal receives the branch data, calculating a time difference between the first moment and the second moment to obtain single processing duration of the primary selection terminal, extracting and analyzing a numerical value of the single processing duration to obtain a single processing value, summing all the single processing values of the primary selection terminal, and averaging to obtain a processing average value; normalizing the processing mean value and the total times to obtain a data effective value of the primary selection terminal; and sending the data valid value to the database for storage.
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