CN113916297A - Coal measurement and quality inspection integrated intelligent management and control system - Google Patents
Coal measurement and quality inspection integrated intelligent management and control system Download PDFInfo
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Abstract
The invention discloses an integrated intelligent control system for coal metering and quality inspection, which belongs to the field of coal and is used for solving the problems of poor weight accuracy, large working error of coal quality inspection detection, inaccurate data and incapability of adaptive setting of coal control measures of coal loading, and comprises a quality inspection module, a coal metering module and a control setting module, wherein the coal metering module is used for calculating the coal loading capacity of a coal truck and generating a coal bearing overweight signal or a coal bearing normal signal, the quality inspection module is used for inspecting the quality of coal, the control setting module is used for performing control setting on a corresponding coal production place to obtain the control grade of the coal, the control setting module feeds the control grade of the coal back to a server, and the server sets the control measures for the coal according to the control grade, so that the integrated control of the coal metering accurate control and the coal quality inspection is realized, and matching adaptive control measures according to the transportation condition and the quality condition.
Description
Technical Field
The invention belongs to the field of frequency conversion equipment, relates to a fault monitoring technology, and particularly relates to an integrated intelligent management and control system for coal metering and quality inspection.
Background
Coal as an energy source occupies an important position in national economic development, coal quality control for ensuring fairness and avoiding interference of human factors is always a problem which is focused and urgently needed to be solved in industries such as coal and downstream metallurgy, electric power, building materials, chemical industry and the like;
the coal loading metering and quality inspection are used as important links of operation management and control of coal enterprises, and problems of low automation degree, high labor intensity of workers, unbalanced loading, inaccurate metering, low mining level, large influence of human interference factors, inaccurate quality inspection and the like exist for a long time, coal sales business disputes are easily caused, the enterprise image and social and economic benefits are seriously influenced, and the railway transportation safety is also influenced; meanwhile, the rapid development of the economy of China in recent years drives the development of basic energy industry mainly comprising the coal department, the behaviors of doping and falsifying, filling and the like appear in the coal purchasing and selling process, and in order to restrain the occurrence of the phenomena, the coal samples are scientifically extracted from the batch coal to be checked, then the sample preparation, the measurement of items such as heating value, ash content and the like are carried out, and the quality of the coal samples is accurately evaluated and judged, so that the method is very important;
at present, the accuracy control capability of loading weight of coal loading is poor, overload and loss phenomena of a loading train are easily caused, when unbalanced loading and unbalanced and concentrated loading occur, the vehicle is easily damaged, and great potential safety hazards are brought to the running safety and personal safety of a freight train; meanwhile, the coal quality inspection and detection work basically depends on manual segmentation, the problems of large fox error, low automation degree of equipment, inaccurate coal quality data, low management efficiency and the like are easily solved, the artificial false situation often occurs, great difficulty is brought to coal quality management and control, and the coal management and control measures are not adaptively set according to the coal metering situation and the quality inspection situation;
therefore, an intelligent management and control system integrating coal metering and quality inspection is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an integrated intelligent management and control system for coal metering and quality inspection.
The technical problem to be solved by the invention is as follows:
(1) how to realize the accurate control of the coal loading weight;
(2) how to change the phenomena of manual detection, large error and inaccurate data of coal quality inspection;
(3) and the coal management and control measures are set in an adaptive mode according to the metering condition and the quality inspection condition of coal.
The purpose of the invention can be realized by the following technical scheme:
a coal metering and quality inspection integrated intelligent management and control system comprises a user terminal, a display terminal, a quality inspection module, a coal metering module, a management and control setting module, a data acquisition module and a server, wherein the user terminal is used for registering and logging after personal information is input by management and control personnel of coal, and the user terminal is used for checking results of coal metering and quality inspection; the data acquisition module is used for acquiring coal quantity data and coal quality data and sending the coal quantity data and the coal quality data to the server, the server sends the coal quantity data to the coal metering module, the coal metering module is used for calculating the coal loading capacity of the coal truck, generating a coal bearing overweight signal or a coal bearing normal signal and calculating to obtain an overload value of the coal truck;
the coal metering module sends and feeds back a coal-bearing overweight signal, an overload value or a coal-bearing normal signal to the server and the display terminal, and after the server receives the overload value of the coal truck sent by the coal metering module, the server sends the overload value of the coal truck to the control setting module;
the coal quality monitoring system comprises a server, a quality inspection module, a display terminal and a monitoring and controlling setting module, wherein the server sends coal quality data to the quality inspection module, the quality inspection module is used for inspecting the quality of coal after receiving the coal quality data sent by the server, the quality inspection module is used for inspecting the quality of the coal to obtain the quality level and the quality value of a sample to be detected of the coal, the quality inspection module feeds the quality level and the quality value of the sample to be detected of the coal back to the server and the display terminal, the server sends the quality value of the sample to be detected of the coal to the monitoring and controlling setting module, and the display terminal is used for displaying a coal bearing overweight signal, an overload value, a coal bearing normal signal and the quality level and quality value of the sample to be detected of a coal transport vehicle;
the coal quality monitoring system comprises a coal transport vehicle, a coal quality monitoring module, a management and control setting module and a server, wherein the management and control setting module is used for performing management and control setting on a corresponding coal production place after receiving an overload value of the coal transport vehicle and the quality of a sample to be detected of coal, which are sent by the server, so as to obtain a management and control grade of the coal, the management and control setting module feeds the management and control grade of the coal back to the server, and the server sets management and control measures for the coal according to the management and control grade.
Further, the coal quantity data comprises the initial weight of the coal carrier, the real-time material level of the coal carrier and the coal feeding rate of the coal feeder, and the coal quality data comprises moisture data, ash data, volatile data, fixed carbon content, calorific value and colloid layer thickness of coal.
Further, the calculation process of the coal metering module is as follows:
the method comprises the following steps: marking the coal car as u, u is 1, 2, … …, z, z is a positive integer; acquiring the initial weight of the coal car, and marking the initial weight of the coal car as CZu;
step two: acquiring the coal feeding rate of a coal feeder, and marking the coal feeding rate as MSu; the method comprises the steps of obtaining the starting working time of a coal conveyer and the current time of a system, and obtaining the real-time coal conveying duration TSMu of the coal conveyer by subtracting the starting working time from the current time of the system;
step three: acquiring the real-time coal-carrying weight SZu of the coal car at the current time of the system, and entering the next step if the real-time coal-carrying weight of the coal car exceeds the preset coal-carrying weight;
if the real-time coal-carrying weight of the coal carrier does not exceed the preset coal-carrying weight of the coal carrier YZu, the coal feeder continues to feed coal until the real-time coal-carrying weight of the coal carrier exceeds the preset coal-carrying weight;
step four: calculating the coal feeding quantity SMLu of the coal feeder within the real-time coal feeding duration by combining a formula SMLu which is MSu multiplied by TSMu;
step five: acquiring the coal carrying capacity of the coal carrying vehicle, marking the coal carrying capacity as MMZu, and comparing the coal carrying capacity of the coal carrying vehicle with the coal conveying capacity SMLu of the coal conveyor within the real-time coal conveying time;
if the SMLu is larger than the MMZu, generating a coal bearing overweight signal, and entering the next step;
if the SMLu is less than or equal to the MMZu, generating a coal bearing normal signal;
step six: calculating an overload value CZu of the coal car by a formula CZu ═ a1 × | SMLu-MMZu | + a2 × | SZu-YZu |; in the formula, a1 and a2 are proportionality coefficients with fixed values, and the values of a1 and a2 are both larger than zero.
Further, the quality inspection module comprises the following inspection steps:
step S1: randomly extracting coal samples to be detected, and marking a plurality of coal samples to be detected as i, i is 1, 2, … …, x is a positive integer;
step S2: acquiring the moisture content SFi, the ash content HFi, the heat productivity FRi and the coulomb sulfur content KLLi of a coal sample to be detected;
step S3: acquiring the fixed carbon content of a coal sample to be detected, and marking the fixed carbon content as GTi;
step S4: by the formula
Calculating to obtain a mass value ZLi of the sample to be detected of the coal; in the formula, b1 and b2 are proportionality coefficients with fixed values, the values of b1 and b2 are both larger than zero, and e is a natural constant;
step S5: acquiring a quality threshold of a coal sample to be detected, and comparing the quality value of the coal sample to be detected with the quality threshold;
if ZLi is more than X1, the quality grade of the sample to be detected of the coal is common coal;
if the X1 is not more than ZLi and is more than X2, the quality grade of the sample to be detected of the coal is medium coal;
if the X2 is not more than ZLi, the quality grade of the sample to be detected of the coal is high-quality coal; wherein X1 and X2 are both mass thresholds, and X1 < X2.
Further, the working process of the control setting module is specifically as follows:
step SS 1: obtaining the quality value ZLi and the overload value CZu obtained through calculation, after normalization processing, obtaining a coal control grade value DJ through calculation of a formula CZu/ZLi;
step SS 2: comparing the rank value of coal control with a coal control rank threshold value;
step SS 3: if DJ is more than Y2, the control level of the coal is a first-level control level;
if the Y2 is more than or equal to DJ and more than Y1, the control level of the coal is a secondary control level;
and if Y1 is greater than DJ, the control level of the coal is a third-level control level.
The system further comprises a safety early warning module, the server stores preset contour maps of a plurality of living targets, and the data acquisition module is also used for acquiring the geographic position of the coal car and sending the geographic position to the safety early warning module;
the safety early warning module comprises a camera shooting detection unit, an infrared detection unit, a living body judgment unit and an acousto-optic alarm unit, wherein the camera shooting detection unit and the infrared detection unit are used for transmitting video streams, images and infrared detection signals which are collected in real time to personnel judgment personnel of edge nodes through a wired transmission network, the living body judgment unit is used for judging and identifying living body targets, after the living body targets are judged to enter the living body by mistake, the acousto-optic alarm unit carries out safety early warning and sends out acousto-optic alarm sound, the safety early warning module is used for carrying out safety early warning on coal transportation conditions to generate emergency stop signals or cautious operation signals, the safety early warning module feeds the emergency stop signals or cautious operation signals back to the server, and the server controls the working state of the coal car according to the emergency stop signals or the cautious operation signals.
Further, the safety early warning process of the safety early warning module is as follows:
step P1: setting safety early warning intervals at two sides of a train track for coal transportation;
step P2: setting a plurality of safety early warning edge sensing and controlling nodes and danger sensing and controlling nodes according to the safety early warning intervals, wherein each edge sensing and controlling node comprises a camera detection unit and an infrared detection unit, an edge virtual wire mixing is connected between each edge sensing and controlling node and each edge sensing and controlling node, a danger virtual wire mixing is connected between each danger sensing and controlling node and each danger sensing and controlling node, and a safety early warning area is formed between each edge virtual wire mixing and each danger virtual wire mixing;
step P3: when a living body target is in contact with the edge virtual wire mixing to carry out a safety early warning area, the safety early warning module generates a living body judgment signal, the living body judgment signal is loaded to the living body judgment unit, and the living body judgment unit acquires a real-time contour map of the living body target;
step P4: the safety early warning module schedules a preset contour map in the server, the real-time contour map is compared with a plurality of preset contour maps, and the corresponding living body target is obtained through contour comparison;
step P5: the live body target is sent to the display terminal to be displayed, and meanwhile, the acousto-optic alarm module sends out acousto-optic alarm sound to perform safety early warning on the live body target;
step P6: when the acousto-optic alarm module starts to work, recording the stay time of a living target in a safety early warning area, stopping the acousto-optic alarm module to work if the stay time is less than the preset time, continuing the work of the acousto-optic alarm module if the stay time is more than or equal to the preset time, monitoring the living target in real time by the camera shooting detection unit and the infrared detection unit, and generating an early warning viewing signal to be loaded to the user terminal;
step P7: the user terminal receives the early warning viewing signal and then goes to a safety early warning area where the living body target is located;
step P8: if the living body target continues to be in contact with the dangerous virtual mixing line, and the control personnel do not reach the safety early warning area where the living body target continues to be located, acquiring the position information of the coal car and the linear distance between the living body target and the safety early warning area in real time, if the linear distance is smaller than or equal to the preset distance, generating an emergency braking signal, and if the linear distance is larger than the preset distance, generating a cautious operation signal.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the coal quantity is calculated through the coal metering module, the real-time coal-carrying weight is calculated according to the initial weight of the coal carrier, the coal-carrying rate of the coal feeder and the real-time coal-carrying duration, the coal-carrying quantity of the coal feeder in the real-time coal-carrying duration is obtained by combining a formula after the real-time weight of the coal carrier is compared with the preset coal-carrying weight, the coal-carrying quantity is compared with the full-carrying quantity of the coal to generate a coal-carrying normal signal or a coal-carrying overweight signal, the coal loading is accurately controlled through the coal-carrying normal signal or the coal-carrying overweight signal, the overload and loss phenomena of a loading train are avoided, the damage of the loading train is reduced, and the major potential safety hazard to the running safety and the personal safety of the freight train is prevented;
2. according to the invention, the quality of coal is detected through the quality detection module, the sample to be detected of the coal is randomly extracted, the quality value of the sample to be detected of the coal is obtained through calculation according to the data such as the moisture content, the ash content, the heat productivity, the Coulomb sulfur content and the fixed carbon content, the quality value is compared with the quality threshold of the sample to be detected of the coal to judge the quality grade of the sample to be detected of the coal, the detection of the coal quality is convenient, the manual detection mode of the coal quality detection is changed, and the problems of large error and inaccuracy of the detection data of the coal quality are prevented;
3. according to the coal quality control method, the overload value of the coal carrier is calculated when coal bears an overload signal, the overload value of the coal carrier and the quality of a coal sample are sent to the control setting module, the control setting module is used for controlling and setting the corresponding coal production place, the rank value of coal control is calculated and obtained according to the quality value and the overload value, the rank value of coal control is compared with the threshold of the rank value of coal control to obtain the control rank of the coal, and matched control measures are conveniently set for the coal according to the transportation condition and the quality condition of the coal.
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 system block diagram of the present invention;
FIG. 2 is a block diagram of a safety precaution system according to the present invention;
fig. 3 is a schematic diagram of a safety precaution area in 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. 1-3, an integrated intelligent management and control system for coal metering and quality inspection includes a user terminal, a safety early warning module, a display terminal, a quality inspection module, a coal metering module, a management and control setting module, a data acquisition module, and a server;
the user terminal is used for registering and logging after personal information is input by coal management and control personnel, and the user terminal is used for checking results of coal metering and quality inspection; the data acquisition module is used for acquiring the coal quantity data and the coal quality data and sending the coal quantity data and the coal quality data to the server;
the coal quality data comprises moisture data, ash data, volatile data, fixed carbon content, calorific value, colloid layer thickness and the like of coal;
the data acquisition module is specifically a weight sensor arranged on the coal car, a material level sensor in the coal car, a metering sensor and a timer on the coal feeder and the like;
the server sends the coal quantity data to the coal metering module, the coal metering module is used for calculating the coal loading capacity of the coal car, and the calculating process is as follows:
the method comprises the following steps: marking the coal car as u, u is 1, 2, … …, z, z is a positive integer; acquiring the initial weight of the coal car, and marking the initial weight of the coal car as CZu;
step two: acquiring the coal feeding rate of a coal feeder, and marking the coal feeding rate as MSu; the method comprises the steps of obtaining the starting working time of a coal conveyer and the current time of a system, and obtaining the real-time coal conveying duration TSMu of the coal conveyer by subtracting the starting working time from the current time of the system;
step three: acquiring the real-time coal-carrying weight SZu of the coal car at the current time of the system, and entering the next step if the real-time coal-carrying weight of the coal car exceeds the preset coal-carrying weight;
if the real-time coal-carrying weight of the coal carrier does not exceed the preset coal-carrying weight of the coal carrier YZu, the coal feeder continues to feed coal until the real-time coal-carrying weight of the coal carrier exceeds the preset coal-carrying weight;
step four: calculating the coal feeding quantity SMLu of the coal feeder within the real-time coal feeding duration by combining a formula SMLu which is MSu multiplied by TSMu;
step five: acquiring the coal carrying capacity of the coal carrying vehicle, marking the coal carrying capacity as MMZu, and comparing the coal carrying capacity of the coal carrying vehicle with the coal conveying capacity SMLu of the coal conveyor within the real-time coal conveying time;
if the SMLu is larger than the MMZu, generating a coal bearing overweight signal, and entering the next step;
if the SMLu is less than or equal to the MMZu, generating a coal bearing normal signal;
step six: calculating an overload value CZu of the coal car by a formula CZu ═ a1 × | SMLu-MMZu | + a2 × | SZu-YZu |; in the formula, a1 and a2 are proportionality coefficients with fixed numerical values, and the values of a1 and a2 are both greater than zero;
the coal metering module sends an overweight coal bearing signal, an overload value or a normal coal bearing signal back to the server and the display terminal, the server receives the overload value of the coal carrier sent by the coal metering module, the server sends the overload value of the coal carrier to the control setting module, and meanwhile, the server also sends the overweight coal bearing signal or the normal coal bearing signal to the user terminal;
the server sends the coal quality data to the quality inspection module, and after the quality inspection module receives the coal quality data sent by the server, the quality inspection module is used for inspecting the quality of coal, and the inspection steps are as follows:
step S1: randomly extracting coal samples to be detected, and marking a plurality of coal samples to be detected as i, i is 1, 2, … …, x is a positive integer;
step S2: acquiring the water content of a coal sample to be detected, and marking the water content as SFi; acquiring the ash content of a coal sample to be detected, and marking the ash content as HFi; obtaining the calorific value of a coal sample to be detected, and marking the calorific value as FRi; acquiring the coulomb sulfur content of a coal sample to be detected, and marking the coulomb sulfur content as KLLi;
in specific implementation, the moisture content of a coal sample to be detected is measured through a moisture detection workstation, an ash content detection workstation, a heating value detection workstation and a coulomb sulfur content detection workstation, the moisture content of the coal sample to be detected is measured through the moisture workstation, core detection equipment of the moisture workstation is a blast drying box, the workstation carries out moisture measurement according to an industrial analysis method of GB/T212 coal, a glass weighing bottle containing (1 +/-0.1) g of a general analysis coal sample to be detected and a cover placed beside the weighing bottle are sent to the moisture workstation, a batch of coal sample to be detected is placed into the blast drying box (110 ℃ C.) through a mechanical transmission mode, the coal sample to be detected is taken out after being dried for a certain time, a weighing bottle cover is covered, and the coal sample to be detected is placed into a dryer through the mechanical transmission mode and is weighed after being cooled to room temperature;
the core detection equipment of the ash content detection workstation is a muffle furnace, the ash content detection workstation carries out ash content detection according to an industrial analysis method of GB/T212 coal, a cupel containing (1 +/-0.1) g of coal samples to be detected is sent to the ash content detection workstation, a batch of coal samples to be detected are put into the muffle furnace in a mechanical transmission mode, and ash content detection is carried out according to the steps required by the standard GB/T212;
the core detection device of the calorific capacity detection workstation is a double-barrel calorimeter, a combustion vessel containing (0.9-1.1) g of coal samples to be detected is sent to the calorific capacity detection workstation, and an ignition wire with a fixed shape is put into the coal samples to be detected and is not contacted with the wall of the combustion vessel. The combustion vessel and the corresponding oxygen bomb are in one-to-one correspondence. The calorific value was measured according to the procedure required in GB/T213;
the core detection equipment of the coulomb sulfur content workstation is a coulomb sulfur determinator, a porcelain boat containing (0.05 +/-0.005) g of air drying coal samples is uniformly covered with a thin layer of tungsten trioxide on the coal samples to be detected and then is sent to the coulomb sulfur content workstation, a batch of coal samples to be detected are placed at the sample introduction position of the sulfur determinator in a mechanical transmission mode, and the sulfur content is determined according to the steps required by the standard GB/T214;
step S3: acquiring the fixed carbon content of a coal sample to be detected, and marking the fixed carbon content as GTi;
wherein, the fixed carbon content is the fixed carbon content by subtracting the measured moisture, ash content and volatile component from the total weight by a laboratory method, and the difference value is the percentage of the original sample carbon. The size of the carbon-containing activated carbon is increased along with the rise of the temperature of calcined charcoal, and the carbon content of the charcoal is about 80 percent generally;
step S4: by the formula
Calculating to obtain a mass value ZLi of the sample to be detected of the coal; in the formula, b1 and b2 are proportionality coefficients with fixed values, the values of b1 and b2 are both larger than zero, and e is a natural constant;
step S5: acquiring a quality threshold of a coal sample to be detected, and comparing the quality value of the coal sample to be detected with the quality threshold;
if ZLi is more than X1, the quality grade of the sample to be detected of the coal is common coal;
if the X1 is not more than ZLi and is more than X2, the quality grade of the sample to be detected of the coal is medium coal;
if the X2 is not more than ZLi, the quality grade of the sample to be detected of the coal is high-quality coal; wherein X1 and X2 are both mass thresholds, and X1 is less than X2;
the quality inspection module feeds back the quality grade and the quality value of the sample to be detected of the coal to the server and the display terminal, the server sends the quality value of the sample to be detected of the coal to the control setting module, the display terminal is used for displaying a coal bearing overweight signal, an overload value and a coal bearing normal signal of the coal transport vehicle and the quality grade and the quality value of the sample to be detected of the coal, and the server also sends the quality grade of the sample to be detected of the coal to the user terminal;
after the control setting module receives the overload value of the coal car and the quality of the sample to be detected of the coal, which are sent by the server, the control setting module is used for controlling and setting the corresponding coal production places, and the working process is as follows:
step SS 1: obtaining the quality value ZLi and the overload value CZu obtained through calculation, after normalization processing, obtaining a coal control grade value DJ through calculation of a formula CZu/ZLi;
step SS 2: comparing the rank value of coal control with a coal control rank threshold value;
step SS 3: if DJ is more than Y2, the control level of the coal is a first-level control level;
if the Y2 is more than or equal to DJ and more than Y1, the control level of the coal is a secondary control level;
if Y1 is greater than DJ, the control level of the coal is a third-level control level;
the control setting module feeds back the control grade of the coal to the server, and the server sets control measures for the coal according to the control grade;
specifically, the control measures include coal outage rectification, coal quality general survey and coal transportation quantity inspection of a coal transportation vehicle, and the strength of the control grades sequentially comprises a first-level control grade, a second-level control grade and a third-level control grade from large to small;
the server storage has the predetermined profile map of a plurality of live body target, data acquisition module still is used for gathering the geographical position of fortune coal car, and send geographical position to the safety precaution module, the safety precaution module is including making a video recording the detecting element, infrared detecting element, live body judgement unit and audible and visual alarm unit, make a video recording the video stream that detecting element and infrared detecting element are used for real-time collection, image and infrared detected signal judge personnel through the personnel of cable transmission network transmission to edge node, the live body judgement unit is used for judging the discernment to the live body target, after judging the mistake income live body, audible and visual alarm unit carries out safety precaution and sends out audible and visual alarm sound, the safety precaution module is used for carrying out safety precaution to the coal transportation condition, the safety precaution process specifically as follows:
step P1: setting safety early warning intervals at two sides of a train track for coal transportation;
step P2: setting a plurality of safety early warning edge sensing and controlling nodes and danger sensing and controlling nodes according to the safety early warning intervals, wherein each edge sensing and controlling node comprises a camera shooting detecting unit and an infrared detecting unit, an edge virtual mixing line is connected between each edge sensing and controlling node and each danger sensing and controlling node, a danger virtual mixing line is connected between each danger sensing and controlling node and each danger sensing and controlling node, a safety early warning area is formed between each edge virtual mixing line and each danger virtual mixing line, and each edge sensing and controlling node can be a camera and an infrared human body detector when being implemented specifically;
step P3: when a living body target is in contact with the edge virtual wire mixing to carry out a safety early warning area, the safety early warning module generates a living body judgment signal, the living body judgment signal is loaded to the living body judgment unit, and the living body judgment unit acquires a real-time contour map of the living body target;
step P4: the safety early warning module schedules a preset contour map in the server, the real-time contour map is compared with a plurality of preset contour maps, a corresponding living body target is obtained through contour comparison, the contour comparison is the prior art, and detailed description is omitted;
step P5: the live body target is sent to the display terminal to be displayed, and meanwhile, the acousto-optic alarm module sends out acousto-optic alarm sound to perform safety early warning on the live body target;
step P6: when the acousto-optic alarm module starts to work, recording the stay time of a living target in a safety early warning area, stopping the acousto-optic alarm module to work if the stay time is less than the preset time, continuing the work of the acousto-optic alarm module if the stay time is more than or equal to the preset time, monitoring the living target in real time by the camera shooting detection unit and the infrared detection unit, and generating an early warning viewing signal to be loaded to the user terminal;
step P7: the user terminal receives the early warning viewing signal and then goes to a safety early warning area where the living body target is located;
step P8: if the living body target continues to be in contact with the dangerous virtual mixing line and the control personnel do not reach the safety early warning area where the living body target continues to be located, acquiring the position information of the coal car and the linear distance between the coal car and the safety early warning area where the living body target is located in real time, if the linear distance is smaller than or equal to a preset distance, generating an emergency braking signal, and if the linear distance is larger than the preset distance, generating a cautious operation signal;
the safety early warning module feeds back the emergency braking signal or the cautious operation signal to the server, and the server controls the working state of the coal car according to the emergency braking signal or the cautious operation signal.
An intelligent management and control system integrating coal metering and quality inspection is characterized in that during operation, a data acquisition module is used for acquiring coal quantity data and coal quality data, the coal quantity data and the coal quality data are sent to a server, the server sends the coal quantity data to a coal metering module, the coal metering module is used for calculating the coal quantity to acquire the initial weight CZu of a coal carrier, the coal feeding speed MSu of a coal feeder, the starting working time of the coal feeder and the current time of the system, the current time of the system is used for subtracting the starting working time to obtain the real-time coal feeding duration TSMu of the coal feeder, then the real-time coal carrying weight SZu of the coal carrier at the current time of the system is acquired, if the real-time coal carrying weight of the coal carrier does not exceed the preset coal carrying weight YZu of the coal carrier, the coal feeder continues to feed coal until the real-time coal carrying weight of the coal carrier exceeds the preset coal carrying weight, and if the real-time coal carrying weight of the coal carrier exceeds the preset coal carrying weight, then, the next step is carried out, the coal feeding quantity SMLu of the coal feeder in the real-time coal feeding duration is obtained through calculation by combining a formula SMLu-MSu xTSMu, then the coal carrying full capacity MMZu of the coal car is obtained, the coal carrying full capacity of the coal car is compared with the coal feeding quantity SMLu of the coal feeder in the real-time coal feeding duration, if the SMLu is not larger than the MMZu, a coal carrying normal signal is generated, if the SMLu is larger than the MMZu, a coal carrying overweight signal is generated, an overload value CZu of the coal car is obtained through calculation by combining a formula CZu-a 1 x I SMLu-MMZu + a2 x SZu-YZu I, and the coal carrying overweight signal, the overload value or the coal carrying normal signal are sent back to the server and the display terminal by the coal metering module;
the server sends the coal quality data to a quality inspection module, the quality of the coal is inspected through the quality inspection module, a sample to be detected of the coal is randomly extracted, the water content SFi, the ash content HFi, the heating value FRi, the Coulomb sulfur content KLLi and the fixed carbon content GTi of the sample to be detected of the coal are obtained, and the formula is used
Calculating to obtain a quality value ZLi of the sample to be detected of coal, obtaining a quality threshold value of the sample to be detected of coal, if ZLi is larger than X1, the quality grade of the sample to be detected of coal is common coal, if X1 is not less than ZLi and is larger than X2, the quality grade of the sample to be detected of coal is medium coal, if X2 is not more than ZLi, the quality grade of the sample to be detected of coal is high-quality coal, and the quality inspection module feeds the quality grade and the quality value of the sample to be detected of coal back to the server and the display terminal;
meanwhile, the server sends the overload value of the coal car and the quality value of the sample to be tested of the coal to a control setting module, the control setting module performs control setting on a corresponding coal production place, obtains a calculated quality value ZLi and an overload value CZu, performs normalization processing, obtains a DJ (CZu/ZLi) calculated by a formula to obtain a coal control grade value DJ, compares the coal control grade value with a coal control grade threshold value, if DJ is greater than Y2, the coal control grade is a first-level control grade, if Y2 is greater than or equal to DJ and greater than Y1, the coal control grade is a second-level control grade, if Y1 is greater than DJ, the coal control grade is a third-level control grade, the control setting module feeds the coal control grade back to the server, and the server sets control measures for the coal according to the control grade;
the server stores preset contour maps of a plurality of living body targets, acquires the geographical position of a coal car through a data acquisition module and sends the geographical position to a safety early warning module, the safety early warning module carries out safety early warning on the coal transportation condition, safety early warning intervals are set at two sides of a train track for coal transportation, a plurality of edge sensing and controlling nodes for safety early warning and danger sensing and controlling nodes are set according to the safety early warning intervals, an edge virtual wire mixing is connected between the edge sensing and controlling nodes, a danger virtual wire mixing is connected between the danger sensing and controlling nodes, a safety early warning area is formed between the edge virtual wire mixing and the danger virtual wire mixing, when a living body target contacts with the edge virtual wire mixing to carry out the safety early warning area, the safety early warning module produces living body judgment signals, and the living body judgment signals are loaded to a living body judgment unit, the living body judging unit collects a real-time contour map of a living body target, the safety early warning module schedules a preset contour map in a server, the real-time contour map is compared with a plurality of preset contour maps, the contour comparison obtains the corresponding living body target, the living body target is sent to a display terminal to be displayed, meanwhile, the acousto-optic warning module sends out acousto-optic warning sound to carry out safety early warning on the living body target, when the acousto-optic warning module starts to work, the stay time of the living body target in a safety early warning area is recorded, if the stay time is less than the preset time, the acousto-optic warning module stops working, if the stay time is more than or equal to the preset time, the acousto-optic warning module continues to work, the camera shooting detection unit and the infrared detection unit carry out real-time monitoring on the living body target, simultaneously, an early warning viewing signal is generated and loaded to a user terminal, and the user terminal goes to the safety early warning area where the living body target is located after receiving the early warning viewing signal, if the living body target continues to be in contact with the dangerous virtual mixing line, and the control personnel do not reach the safety early warning area where the living body target continues to be located, the position information of the coal car and the linear distance of the safety early warning area where the living body target is located are obtained in real time, if the linear distance is smaller than or equal to the preset distance, an emergency braking signal is generated, if the linear distance is larger than the preset distance, a cautious operation signal is generated, the safety early warning module feeds the emergency braking signal or the cautious operation signal back to the server, and the server controls the working state of the coal car according to the emergency braking signal or the cautious operation signal.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
such as the formula:
collecting multiple groups of sample data and setting a corresponding rating coefficient for each group of sample data by a person skilled in the art; substituting the set rating coefficient and the collected sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain 1.2111 and 0.14644 values of V1 and V2 respectively;
the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is facilitated, and the coefficient is determined by the number of sample data and a corresponding humidity coefficient preliminarily set by a person skilled in the art for each group of sample data; as long as the proportional relationship between the parameters and the quantized values is not affected.
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 (7)
1. The coal metering and quality inspection integrated intelligent management and control system is characterized by comprising a user terminal, a display terminal, a quality inspection module, a coal metering module, a management and control setting module, a data acquisition module and a server, wherein the user terminal is used for registering and logging after personal information is input by management and control personnel of coal, and the user terminal is used for checking results of coal metering and quality inspection; the data acquisition module is used for acquiring coal quantity data and coal quality data and sending the coal quantity data and the coal quality data to the server, the server sends the coal quantity data to the coal metering module, the coal metering module is used for calculating the coal loading capacity of the coal truck, generating a coal bearing overweight signal or a coal bearing normal signal and calculating to obtain an overload value of the coal truck;
the coal metering module sends and feeds back a coal-bearing overweight signal, an overload value or a coal-bearing normal signal to the server and the display terminal, and after the server receives the overload value of the coal truck sent by the coal metering module, the server sends the overload value of the coal truck to the control setting module;
the coal quality monitoring system comprises a server, a quality inspection module, a display terminal and a monitoring and controlling setting module, wherein the server sends coal quality data to the quality inspection module, the quality inspection module is used for inspecting the quality of coal after receiving the coal quality data sent by the server, the quality inspection module is used for inspecting the quality of the coal to obtain the quality level and the quality value of a sample to be detected of the coal, the quality inspection module feeds the quality level and the quality value of the sample to be detected of the coal back to the server and the display terminal, the server sends the quality value of the sample to be detected of the coal to the monitoring and controlling setting module, and the display terminal is used for displaying a coal bearing overweight signal, an overload value, a coal bearing normal signal and the quality level and quality value of the sample to be detected of a coal transport vehicle;
the coal quality monitoring system comprises a coal transport vehicle, a coal quality monitoring module, a management and control setting module and a server, wherein the management and control setting module is used for performing management and control setting on a corresponding coal production place after receiving an overload value of the coal transport vehicle and the quality of a sample to be detected of coal, which are sent by the server, so as to obtain a management and control grade of the coal, the management and control setting module feeds the management and control grade of the coal back to the server, and the server sets management and control measures for the coal according to the management and control grade.
2. The system of claim 1, wherein the coal quantity data comprises an initial weight of a coal car, a real-time material level of the coal car, and a coal feeding rate of a coal feeder, and the coal quality data comprises moisture data, ash data, volatile component data, fixed carbon content, calorific value, and a colloidal layer thickness of coal.
3. The system of claim 1, wherein the calculation process of the coal metering module is as follows:
the method comprises the following steps: marking the coal car as u, u is 1, 2, … …, z, z is a positive integer; acquiring the initial weight of the coal car, and marking the initial weight of the coal car as CZu;
step two: acquiring the coal feeding rate of a coal feeder, and marking the coal feeding rate as MSu; the method comprises the steps of obtaining the starting working time of a coal conveyer and the current time of a system, and obtaining the real-time coal conveying duration TSMu of the coal conveyer by subtracting the starting working time from the current time of the system;
step three: acquiring the real-time coal-carrying weight SZu of the coal car at the current time of the system, and entering the next step if the real-time coal-carrying weight of the coal car exceeds the preset coal-carrying weight;
if the real-time coal-carrying weight of the coal carrier does not exceed the preset coal-carrying weight of the coal carrier YZu, the coal feeder continues to feed coal until the real-time coal-carrying weight of the coal carrier exceeds the preset coal-carrying weight;
step four: calculating the coal feeding quantity SMLu of the coal feeder within the real-time coal feeding duration by combining a formula SMLu which is MSu multiplied by TSMu;
step five: acquiring the coal carrying capacity of the coal carrying vehicle, marking the coal carrying capacity as MMZu, and comparing the coal carrying capacity of the coal carrying vehicle with the coal conveying capacity SMLu of the coal conveyor within the real-time coal conveying time;
if the SMLu is larger than the MMZu, generating a coal bearing overweight signal, and entering the next step;
if the SMLu is less than or equal to the MMZu, generating a coal bearing normal signal;
step six: calculating an overload value CZu of the coal car by a formula CZu ═ a1 × | SMLu-MMZu | + a2 × | SZu-YZu |; in the formula, a1 and a2 are proportionality coefficients with fixed values, and the values of a1 and a2 are both larger than zero.
4. The system of claim 1, wherein the quality control module comprises the following steps:
step S1: randomly extracting coal samples to be detected, and marking a plurality of coal samples to be detected as i, i is 1, 2, … …, x is a positive integer;
step S2: acquiring the moisture content SFi, the ash content HFi, the heat productivity FRi and the coulomb sulfur content KLLi of a coal sample to be detected;
step S3: acquiring the fixed carbon content of a coal sample to be detected, and marking the fixed carbon content as GTi;
step S4: by the formula
Calculating to obtain a mass value ZLi of the sample to be detected of the coal; in the formula, b1 and b2 are proportionality coefficients with fixed values, the values of b1 and b2 are both larger than zero, and e is a natural constant;
step S5: acquiring a quality threshold of a coal sample to be detected, and comparing the quality value of the coal sample to be detected with the quality threshold;
if ZLi is more than X1, the quality grade of the sample to be detected of the coal is common coal;
if the X1 is not more than ZLi and is more than X2, the quality grade of the sample to be detected of the coal is medium coal;
if the X2 is not more than ZLi, the quality grade of the sample to be detected of the coal is high-quality coal; wherein X1 and X2 are both mass thresholds, and X1 < X2.
5. The system of claim 1, wherein the control setting module specifically comprises the following steps:
step SS 1: obtaining the quality value ZLi and the overload value CZu obtained through calculation, after normalization processing, obtaining a coal control grade value DJ through calculation of a formula CZu/ZLi;
step SS 2: comparing the rank value of coal control with a coal control rank threshold value;
step SS 3: if DJ is more than Y2, the control level of the coal is a first-level control level;
if the Y2 is more than or equal to DJ and more than Y1, the control level of the coal is a secondary control level;
and if Y1 is greater than DJ, the control level of the coal is a third-level control level.
6. The system according to claim 1, further comprising a safety early warning module, wherein the server stores preset contour maps of a plurality of living targets, and the data acquisition module is further configured to acquire the geographic position of the coal car and send the geographic position to the safety early warning module;
the safety early warning module comprises a camera shooting detection unit, an infrared detection unit, a living body judgment unit and an acousto-optic alarm unit, wherein the camera shooting detection unit and the infrared detection unit are used for transmitting video streams, images and infrared detection signals which are collected in real time to personnel judgment personnel of edge nodes through a wired transmission network, the living body judgment unit is used for judging and identifying living body targets, after the living body targets are judged to enter the living body by mistake, the acousto-optic alarm unit carries out safety early warning and sends out acousto-optic alarm sound, the safety early warning module is used for carrying out safety early warning on coal transportation conditions to generate emergency stop signals or cautious operation signals, the safety early warning module feeds the emergency stop signals or cautious operation signals back to the server, and the server controls the working state of the coal car according to the emergency stop signals or the cautious operation signals.
7. The integrated intelligent management and control system for coal metering and quality inspection according to claim 6, wherein the safety early warning process of the safety early warning module is as follows:
step P1: setting safety early warning intervals at two sides of a train track for coal transportation;
step P2: setting a plurality of safety early warning edge sensing and controlling nodes and danger sensing and controlling nodes according to the safety early warning intervals, wherein each edge sensing and controlling node comprises a camera detection unit and an infrared detection unit, an edge virtual wire mixing is connected between each edge sensing and controlling node and each edge sensing and controlling node, a danger virtual wire mixing is connected between each danger sensing and controlling node and each danger sensing and controlling node, and a safety early warning area is formed between each edge virtual wire mixing and each danger virtual wire mixing;
step P3: when a living body target is in contact with the edge virtual wire mixing to carry out a safety early warning area, the safety early warning module generates a living body judgment signal, the living body judgment signal is loaded to the living body judgment unit, and the living body judgment unit acquires a real-time contour map of the living body target;
step P4: the safety early warning module schedules a preset contour map in the server, the real-time contour map is compared with a plurality of preset contour maps, and the corresponding living body target is obtained through contour comparison;
step P5: the live body target is sent to the display terminal to be displayed, and meanwhile, the acousto-optic alarm module sends out acousto-optic alarm sound to perform safety early warning on the live body target;
step P6: when the acousto-optic alarm module starts to work, recording the stay time of a living target in a safety early warning area, stopping the acousto-optic alarm module to work if the stay time is less than the preset time, continuing the work of the acousto-optic alarm module if the stay time is more than or equal to the preset time, monitoring the living target in real time by the camera shooting detection unit and the infrared detection unit, and generating an early warning viewing signal to be loaded to the user terminal;
step P7: the user terminal receives the early warning viewing signal and then goes to a safety early warning area where the living body target is located;
step P8: if the living body target continues to be in contact with the dangerous virtual mixing line, and the control personnel do not reach the safety early warning area where the living body target continues to be located, acquiring the position information of the coal car and the linear distance between the living body target and the safety early warning area in real time, if the linear distance is smaller than or equal to the preset distance, generating an emergency braking signal, and if the linear distance is larger than the preset distance, generating a cautious operation signal.
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