An automatic control system for a coal receiving bunker discharging device

Abstract

The present invention provides an automatic control system for a coal receiving bunker discharging device, belonging to the technical field of coal unloading. The control system includes an execution unit, a processing unit, a multi-party monitoring unit, and a server; the multi-party monitoring unit is used to obtain the operating status of the discharging device and relevant information of the transportation equipment; the server receives the starting position of the transportation equipment and the working position of the discharging device, processes and feeds back the driving operation information of the transportation equipment to the processing unit. By performing fault detection and analysis on the operating status of the discharging device, predicting the probability of the discharging device being unable to work properly, when the probability of the discharging device having a fault is relatively high, maintenance and repair personnel are arranged in advance to perform inspection and maintenance in sequence according to the relatively high probability of the corresponding devices on the device list to be maintained, ensuring the comprehensiveness of the detection, and timely handling the faults of the discharging device to ensure its working efficiency.

Description

Technical Field

[0001] The invention belongs to the technical field of coal unloading, and specifically relates to an automatic control system for a coal receiving pit unloading device. Background Art

[0002] A coal receiving pit refers to an industrial building structure for temporarily storing incoming coal. When the coal storage yard and the coal unloading yard are constructed separately, a coal receiving pit needs to be set up. Currently, after the transportation equipment transports the coal material to the destination, coal unloading has become an efficiency - affecting matter. Due to the limited rate of manual coal unloading and mechanical - assisted unloading, high labor intensity, and potential safety hazards, a unloading device is usually used to unload the coal material.

[0003] Since the unloading device does a lot of work during operation, it wears out quickly, and there is a large amount of dust during its operation, making it difficult to detect and handle faults in the unloading device in a timely manner. Therefore, we propose an automatic control system for a coal receiving pit unloading device to solve the problems encountered above. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the invention provides an automatic control system for a coal receiving pit unloading device to solve the problem that it is difficult to detect and handle faults in the unloading device as proposed in the above background art.

[0005] The purpose of the invention can be realized by the following technical solutions: The control system includes an execution unit, a processing unit, a multi - party monitoring unit, and a server;

[0006] The multi - party monitoring unit is used to obtain the operating state of the unloading device and relevant information of the transportation equipment;

[0007] The server receives the starting position of the transportation equipment and the working position of the unloading device, processes and feeds back the driving operation information of the transportation equipment to the processing unit; the processing unit receives the driving operation information, conducts prediction processing and sends it to the execution unit; among them, the driving operation information includes the driving route of the transportation equipment and the corresponding real - time speed; when the real - time position of the transportation equipment reaches the working position of the unloading device, the position of the carriage of the transportation equipment is corrected to obtain a unloading position compliance signal and sent to the execution unit;

[0008] The processing unit receives the operating status of the unloading device and conducts fault detection and analysis to obtain temperature shadow values, sound shadow values, and lubrication shadow values respectively. When any one of the temperature shadow value, sound shadow value, and lubrication shadow value parameters is not within the corresponding set threshold, an immediate shutdown instruction is generated; and the temperature shadow value, sound shadow value, and lubrication shadow value are calculated to obtain the total influence value; when the total influence value is generated, an operation group is obtained; among them, the operation group includes control operation one, control operation two, and control operation three; each control operation corresponds to a value range; the total influence value is matched with all the value ranges in the operation group, and the specific matching is as follows:

[0009] If the total influence value is within the value range corresponding to operation group one, an allowable unloading signal is generated, and the unloading device is allowed to perform unloading work; if the total influence value is within the value range corresponding to operation group two, a status abnormality instruction is generated; if the total influence value is within the value range corresponding to operation group three, an immediate shutdown instruction is generated to make the unloading device stop working immediately;

[0010] The execution unit is used to execute corresponding operations according to corresponding instructions.

[0011] As a preferred embodiment of the present invention, the multi-party monitoring unit includes a unloading monitoring module and a remote control and management module;

[0012] The unloading monitoring module is used to obtain the operating status of the unloading device; the operating status includes the temperature and decibel of the driving parts on the unloading device, the oil level of the transmission parts on the unloading device, and external pictures; among them, the driving parts include motor bearings, reducers, oil pumps, etc.; the transmission parts include gearboxes, oil pumps, lubrication-required parts for transmission, etc.;

[0013] The remote control and management module is used to obtain relevant information of the transportation equipment; the relevant information includes the real-time position of the transportation equipment, the model and number of the carriage, the real-time speed of the transportation equipment, and the temperature of the corresponding area on the driving route of the transportation equipment; the camera is used to capture images of the carriage numbers of the transportation equipment, and the proximity switch is used to record the number of carriages of the transportation equipment;

[0014] The specific process of the remote control and management module for correcting the position of the carriage of the transportation equipment is as follows: the speed control system of the transportation equipment itself is taken over by the server, the distance difference between the carriage with the corresponding number and the unloading device is obtained, and the server adjusts the speed of the transportation equipment until the number of the carriage is paired with the working position of the unloading device. After the pairing is completed, a unloading position compliance signal is generated.

[0015] As a preferred embodiment of the present invention, the server further includes a difference analysis module and a personnel deployment module;

[0016] The difference analysis module is used to analyze the abnormal conditions of the operation status of the unloading device, obtain the temperature influence value WY, sound influence value SY, and lubrication influence value RY corresponding to the total influence value ZY, calculate the differences with the corresponding set thresholds respectively to obtain the corresponding temperature deviation value wy, sound deviation value sy, and lubrication deviation value ry, normalize the three of them, and substitute them into the preset formula to obtain the abnormal deviation ratio PY of the corresponding device, and generate a list of devices to be maintained according to the order of the magnitudes of the abnormal deviation ratios;

[0017] The personnel allocation module is used to receive the status abnormal instruction and perform maintenance allocation operations to obtain the corresponding maintenance personnel; send the status abnormal instruction, the list of devices to be maintained, and the numbers and positions of the corresponding devices to the intelligent terminals of the maintenance personnel; after receiving the status abnormal instruction, the list of devices to be maintained, and the numbers and positions of the corresponding devices through the intelligent terminal, the maintenance personnel perform maintenance and repair on the corresponding devices; receive the immediate shutdown instruction and perform emergency repair allocation operations to obtain the corresponding emergency repair personnel; send the immediate shutdown instruction, the list of devices to be emergency repaired, and the numbers and positions of the corresponding devices to the intelligent terminals of the emergency repair personnel; after receiving the status abnormal instruction, the list of devices to be emergency repaired, and the numbers and positions of the corresponding devices through the intelligent terminal, the emergency repair personnel replace and repair the corresponding devices.

[0018] As a preferred embodiment of the present invention, the specific steps corresponding to the maintenance allocation operation and the emergency repair allocation operation of the personnel allocation module are respectively:

[0019] Obtain the maintenance personnel corresponding to the status abnormal instruction for the unloading device; send a feedback information acquisition instruction to the intelligent terminals of all maintenance personnel to obtain the working parameters of the maintenance personnel, process the working parameters to obtain the allocation value of the maintenance personnel; mark the five maintenance personnel with the largest allocation values as pre-maintenance personnel, send a pre-maintenance signal to the intelligent terminals of the pre-maintenance personnel and give a prompt, the pre-maintenance personnel feedback a confirmation signal through the intelligent terminal and mark the feedback time as the confirmation moment, and mark the pre-maintenance personnel with the smallest confirmation moment as the maintenance personnel; if the pre-maintenance personnel do not give feedback within the specified time, or all give negative feedback signals, mark the pre-maintenance personnel with the largest allocation value as the maintenance personnel;

[0020] Obtain the repair personnel corresponding to the immediate shutdown instruction for the unloading device; send a feedback information acquisition instruction to the intelligent terminals of all repair personnel to obtain the working parameters of the repair personnel, process the working parameters to obtain the emergency repair value of the repair personnel; mark the three repair personnel with the largest emergency repair values as the personnel to be repaired, send an emergency repair signal to the corresponding intelligent terminals and give a prompt, and mark the personnel to be repaired as the emergency repair personnel after the personnel to be repaired feedback a confirmation signal through the intelligent terminal; if the personnel to be repaired do not give feedback or give negative feedback signals within the specified time, select the personnel to be repaired in turn according to the order from the largest to the smallest of the maximum emergency repair values, and perform the above repeated operations until the number of emergency repair personnel meets three.

[0021] As a preferred embodiment of the present invention, the specific process of the processing unit receiving the operating state of the unloading device and performing fault detection and analysis to obtain the temperature shadow value is as follows:

[0022] Obtain the opening moment of the unloading device and mark it as the first moment; calculate the time difference between the first moment and the current moment to obtain the elapsed working time; obtain the elapsed working threshold corresponding to the unloading device, and subtract the elapsed working time from the elapsed working threshold to obtain the elapsed working difference WY1;

[0023] Obtain the corresponding ambient temperatures of all driving parts of the unloading device, sort the corresponding ambient temperatures according to the acquisition time sequence, substitute the corresponding ambient temperatures and acquisition times into the corresponding line chart, mark the points of the corresponding ambient temperatures in the line chart as corresponding temperature points, connect adjacent two temperature points to obtain a temperature line, calculate the slope of the temperature line, when the slope is positive, mark the slope as the temperature rise slope W1, when the slope is negative, mark the slope as the temperature drop slope W2; sum up all the corresponding temperature rise slopes and divide by their number to obtain the average slope rise WY21; sum up the absolute values of all the corresponding temperature drop slopes and divide by their number to obtain the average slope drop WY22; use the formula WY2 = [1 / (n1 - 1)]∑[(W1 - WY21)] 2 +[1 / (n2 - 1)]∑[(W2 - WY22)] 2 +0.0196 to obtain the total fluctuation value WY2; where n1 and n2 are the numbers of the temperature rise slope and the temperature drop slope respectively;

[0024] Divide the time period from the first moment to the current moment into several working periods at equal time intervals, select the highest temperature of the ambient temperature of the driving part in each working period, screen the corresponding highest temperature, mark the highest temperature greater than the corresponding set threshold as the abnormal temperature value, sum up all the abnormal temperature values and divide by the number of abnormal temperature values to obtain the abnormal average value WY3;

[0025] Normalize the elapsed working difference WY1, the total fluctuation value WY2 and the abnormal average value WY3, and substitute them into the preset formula to obtain the temperature shadow value WY; where y1, y2, and y3 are the corresponding weight correction factors.

[0026] As a preferred embodiment of the present invention, the specific process of the processing unit receiving the operating state of the unloading device and performing fault detection and analysis to obtain the sound shadow value is as follows:

[0027] Obtain the corresponding ambient decibels of all driving components within a specified time range at the current moment of the unloading device, sort the corresponding ambient decibels according to the acquisition time, substitute the corresponding ambient decibels and acquisition time into the corresponding line chart, mark the points of the corresponding ambient decibels in the line chart as corresponding decibel points, connect two adjacent decibel points to obtain a decibel line, calculate the length of the decibel line, mark the starting decibel point as the decibel coordinate point, mark the decibel line in the first quadrant of the corresponding decibel coordinate point as the high decibel line S1, and mark the decibel line in the fourth quadrant of the corresponding decibel coordinate point as the low decibel line S2; sum up all the corresponding high decibel lines and divide by their number to obtain the high decibel mean value SY21, sum up all the corresponding low decibel lines and divide by their number to obtain the low decibel mean value SY22, and substitute into the formula SY2 = [1 / (m1 - 1)]∑[(S1 - SY21)] 2 +[1 / (m2 - 1)]∑[(S2 - SY22)] 2 - 0.2336 to obtain the decibel fluctuation value SY2; where m1 and m2 are the numbers of the high decibel line and the low decibel line respectively;

[0028] Preset several decibel time zones within the specified time range, select the maximum decibel of the ambient decibels of the driving components in each decibel time zone, screen it, mark the maximum decibel greater than the corresponding set threshold as the abnormal sound value, sum up all the abnormal sound values and divide by their number to obtain the abnormal sound mean value SY3;

[0029] Normalize the already processed tolerance value WY1, decibel fluctuation value SY2 and abnormal sound mean value SY3, and substitute into the formula to obtain the sound shadow value SY; where a1, a2, and a3 are the corresponding weight correction factors.

[0030] As a preferred embodiment of the present invention, the specific process of the processing unit receiving the operating state of the unloading device and performing fault detection and analysis to obtain the lubrication shadow value is as follows:

[0031] Select the oil filling moment closest to the current moment of the unloading device, and mark this oil filling moment as the maintenance oil filling moment; if there is no oil filling moment, mark the installation moment of the transmission component as the maintenance oil filling moment; calculate the time difference between the maintenance oil filling moment and the current moment to obtain the corresponding non - filling duration; subtract the corresponding set duration threshold from the non - filling duration to obtain the non - filling difference value RY1;

[0032] Obtain the oil level of the transmission component on the unloading device, set several oil liquid time zones according to the non - filling duration, subtract the minimum value from the maximum value of the oil liquid level in the oil liquid time zone to obtain the corresponding oil consumption value, sum up the oil consumption values of all oil liquid time zones and take the average value to obtain the average consumption value, screen the average consumption value, mark the average consumption value greater than the corresponding oil consumption threshold as the abnormal consumption value, sum up all the abnormal consumption values and take the average value to obtain the abnormal consumption mean value RY2;

[0033] Obtain the external image of the upper driving part of the unloading device and send it to the image analyzer. Magnify the image by several times to form a pixel grid image, and obtain the chromaticity value of the corresponding pixel grid image through the image analyzer. Screen the pixel grid image, select the number of chromaticity values of the pixel grid image within the corresponding oil chromaticity threshold and mark it as the leakage grid number, and calculate the area of the leakage grid number to obtain the leakage value. Sum all the leakage values to obtain the total oil leakage value RY3;

[0034] Normalize the unadded difference RY1, the total abnormal consumption value RY2, and the total oil leakage value RY3, and substitute them into the formula to obtain the lubrication shadow value RY; where b1, b2, and b3 are the corresponding weight correction factors.

[0035] As a preferred embodiment of the present invention, the server further includes a driving processing module, and the driving processing module is used to analyze the starting position of the transportation equipment and the working position of the unloading device. The specific analysis process is as follows:

[0036] Generate a driving route according to the real-time position of the transportation equipment and the working position of the unloading device; identify the areas to be passed through, the driving distance, and the real-time speed of the transportation equipment in the driving route to generate the estimated arrival time at the corresponding area; obtain the immediate temperature of the area corresponding to the estimated arrival time, sum all the immediate temperatures in the area and perform an average calculation to obtain the transportation temperature value QW; obtain the regional driving duration TR through the real-time speed of the transportation equipment and the driving distance of the corresponding area, calculate the transportation temperature value QW of all areas and the regional driving duration TR of the corresponding area, and substitute them into the formula XZ = [(QW + 60) × i1] / TR to obtain the box value XZ; where i1 is the influence coefficient of the heat transfer efficiency of the box on the transportation equipment; when the box value is within the corresponding set threshold, generate a normal signal for the box, and then select the working position of the unloading device as the estimated arrival position; when the box value is less than the corresponding set threshold, it is determined that the coal material in the box is bonded due to temperature influence, and a low-temperature signal for the box is generated; change the estimated arrival position to the working position of the frozen coal thawing device; when the real-time position of the transportation equipment reaches the working position of the frozen coal thawing device and the frozen coal thawing device works, adjust the speed of the transportation equipment according to the box value corresponding to the low-temperature signal of the box and the thawing efficiency of the frozen coal thawing device.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] 1. The present invention detects and analyzes the operating status of the unloading device to predict the probability of the unloading device failing to work properly. When the probability of a failure is relatively high, maintenance and repair personnel are arranged in advance to perform inspection and maintenance on the corresponding devices in the list of devices to be maintained in order of higher probability, ensuring the comprehensiveness of the detection. Maintenance and repair personnel are arranged in advance to perform inspection and maintenance on the corresponding devices in the list of devices to be maintained in order of higher probability, ensuring the comprehensiveness of the detection, and promptly handling the faults of the unloading device to ensure its working efficiency.

[0039] 2. The present invention analyzes the starting position of the transportation equipment and the working position of the unloading device through the driving processing module to obtain a compartment value. When the compartment value is less than the corresponding set threshold, it is determined that the coal material in the compartment is bonded due to temperature influence, and a low-compartment-temperature signal is generated. The expected arrival position is changed to the working position of the frozen coal thawing device. When the real-time position of the transportation equipment reaches the working position of the frozen coal thawing device and the frozen coal thawing device works, the frozen state of the coal material in the compartment on the transportation equipment is removed to ensure that the unloading device can unload the coal material in the compartment normally. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0041] Figure 1 is a schematic block diagram of an automatic control system for a coal receiving pit unloading device of the present invention;

[0042] Figure 2 is a broken line graph of the environmental temperature change of a coal receiving pit unloading device of the present invention;

[0043] Figure 3 is a broken line graph of the environmental decibel change of a coal receiving pit unloading device of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0044] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0045] Please refer to Figure 1 As shown, an automatic control system for a coal receiving pit unloading device, the control system includes an execution unit, a processing unit, a multi-party monitoring unit, and a server;

[0046] The multi-party monitoring unit is used to obtain the operating status of the unloading device and relevant information of the transportation equipment;

[0047] The server receives the starting position of the transportation device and the working position of the unloading device, processes and feeds back the driving operation information of the transportation device to the processing unit; the processing unit receives the driving operation information, performs prediction processing and sends it to the execution unit; among them, the driving operation information includes the driving route of the transportation device and the corresponding real-time speed; when the real-time position of the transportation device reaches the working position of the unloading device, the position of the carriage of the transportation device is corrected to obtain a unloading position compliance signal and sent to the execution unit;

[0048] The processing unit receives the operating state of the unloading device and conducts fault detection and analysis to obtain temperature shadow value, sound shadow value and lubrication shadow value respectively;

[0049] The specific process of conducting fault detection and analysis on the operating state of the unloading device to obtain the temperature shadow value is as follows:

[0050] Obtain the opening moment of the unloading device and mark it as the first moment; calculate the time difference between the first moment and the current moment to obtain the working duration; obtain the working threshold corresponding to the unloading device, subtract the working duration from the working threshold to obtain the working difference value WY1;

[0051] Obtain the corresponding ambient temperatures of all driving parts of the unloading device, sort the corresponding ambient temperatures according to the collection time sequence, substitute the corresponding ambient temperatures and collection times into the corresponding line chart, mark the points of the corresponding ambient temperatures in the line chart as corresponding temperature points, connect adjacent two temperature points to obtain a temperature line, calculate the slope of the temperature line, when the slope is positive, mark the slope as the temperature rise slope W1, when the slope is negative, mark the slope as the temperature drop slope W2; sum up all the corresponding temperature rise slopes and divide by their number to obtain the average rising slope WY21; sum up the absolute values of all the corresponding temperature drop slopes and divide by their number to obtain the average falling slope WY22; use the formula WY2 = [1 / (n1 - 1)]∑[(W1 - WY21)] 2 +[1 / (n2 - 1)]∑[(W2 - WY22)] 2 +0.0196 to obtain the total fluctuation value WY2; where, n1 and n2 are the numbers of the temperature rise slope and the temperature drop slope respectively;

[0052] Divide the first moment and the current moment into several working periods at equal time intervals, select the highest temperature of the driving part in each working period, screen the corresponding highest temperature, mark the highest temperature greater than the corresponding set threshold as the abnormal temperature value, sum up all the abnormal temperature values and divide by the number of abnormal temperature values to obtain the abnormal average value WY3;

[0053] Normalize the working difference value WY1, the total fluctuation value WY2 and the abnormal average value WY3, and substitute them into the preset formula Obtain the temperature shadow value WY; where y1, y2, and y3 are the corresponding weight correction factors; according to the formula, the smaller the processed difference, the larger the total fluctuation value and the abnormal mean value, and the larger the corresponding temperature shadow value, indicating that the greater the probability that the temperature imbalance of the driving part corresponding to the device causes the unloading device to malfunction.

[0054] The specific process of performing fault detection and analysis on the operating state of the unloading device to obtain the sound shadow value is as follows:

[0055] Obtain the corresponding ambient decibels of all driving parts within the specified time range at the current moment of the unloading device, sort the corresponding ambient decibels according to the acquisition time, substitute the corresponding ambient decibels and acquisition time into the corresponding line chart, mark the points of the corresponding ambient decibels in the line chart as the corresponding decibel points, connect adjacent two decibel points to obtain the decibel line, calculate the length of the decibel line, mark the starting decibel point as the decibel coordinate point, mark the decibel line in the first quadrant of the corresponding decibel coordinate point as the high line S1, and mark the decibel line in the fourth quadrant of the corresponding decibel coordinate point as the low line S2; sum up all the corresponding high lines and divide by their number to obtain the high mean value SY21, sum up all the corresponding low lines and divide by their number to obtain the low mean value SY = [1 / (m1 - 1)]∑[(S1 - SY21)] 2 +[1 / (m2 - 1)]∑[(S2 - SY22)] 2 -0.2336 to obtain the decibel fluctuation value SY2; where m1 and m2 are the numbers of high lines and low lines respectively;

[0056] Preset several decibel time zones within the specified time range, select the maximum decibel of the ambient decibels of the driving parts in each decibel time zone, screen it, mark the maximum decibel greater than the corresponding set threshold as the abnormal sound value, and sum up all the abnormal sound values and divide by their number to obtain the abnormal sound mean value SY3;

[0057] Normalize the processed difference value WY1, the decibel fluctuation value SY2, and the abnormal sound mean value SY3, and substitute them into the formula Obtain the sound shadow value SY; where a1, a2, and a3 are the corresponding weight correction factors; according to the formula, the smaller the processed difference, the larger the decibel fluctuation value and the abnormal sound mean value, and the larger the corresponding sound shadow value, indicating that the greater the probability that the device corresponding to the driving part on the unloading device is damaged.

[0058] The specific process of performing fault detection and analysis on the operating state of the unloading device to obtain the lubrication shadow value is as follows:

[0059] Select the oil filling time closest to the current time of the unloading device, and mark this oil filling time as the maintenance filling time; if there is no oil filling time, mark the installation time of the transmission part as the maintenance filling time; calculate the time difference between the maintenance filling time and the current time to obtain the corresponding unfilled duration; subtract the corresponding set duration threshold from the unfilled duration to obtain the unfilled difference RY1;

[0060] Obtain the oil level of the transmission part on the unloading device, set several oil time zones according to the unfilled duration, subtract the minimum value from the maximum value of the oil level in the oil time zone to obtain the corresponding oil consumption value, sum up and average the oil consumption values of all oil time zones to obtain the average consumption value, screen the average consumption value, mark the average consumption value greater than the corresponding fuel consumption threshold as the abnormal consumption value, sum up and average all abnormal consumption values to obtain the abnormal consumption average value RY2;

[0061] Obtain the external picture of the transmission part on the unloading device and send it to the picture analyzer, magnify the picture by several times to form a pixel grid picture, and obtain the chromaticity value of the corresponding pixel grid picture through the picture analyzer; screen the pixel grid picture, select the number of chromaticity values of the pixel grid picture within the corresponding oil chromaticity threshold and mark it as the leakage grid number, calculate the area of the leakage grid number to obtain the leakage area value; sum up all the leakage area values to obtain the total oil leakage value RY3;

[0062] Normalize the unfilled difference RY1, the total abnormal consumption value RY2 and the total oil leakage value RY3, and substitute them into the formula Obtain the lubrication influence value RY; where, b1, b2, b3 are the corresponding weight correction factors; it can be seen from the formula that the smaller the unfilled difference, the larger the total abnormal consumption value and the total oil leakage value, and the larger the corresponding lubrication influence value, indicating that the probability of the lubricating oil missing in the corresponding lubricating parts and devices of the transmission part affecting the normal operation of the unloading device is greater.

[0063] When any one of the temperature influence value, sound influence value and lubrication influence value is not within the corresponding set threshold, generate an immediate shutdown instruction; and calculate the temperature influence value, sound influence value and lubrication influence value, and substitute them into the formula Obtain the total influence value ZY; through the fault detection and analysis of the operating state of the unloading device, predict the probability of the unloading device not being able to work normally, so that when the probability of the unloading device having a fault is relatively high, arrange maintenance and repair personnel in advance to overhaul and maintain the devices with a relatively high probability of fault of the unloading device, so as to avoid the untimely handling of faults affecting its work efficiency and ensure that the unloading device can operate normally;

[0064] When generating the total influence value, obtain the operation group; where, the operation group includes control operation one, control operation two and control operation three; each control operation corresponds to a value range; match the total influence value with all the value ranges in the operation group, and the specific matching is as follows:

[0065] If the influence total value is within the corresponding value range of operation group 1, an unloading permission signal is generated, and the unloading device is allowed to perform the unloading operation; if the influence total value is within the corresponding value range of operation group 2, a status anomaly instruction is generated; if the influence total value is within the corresponding value range of operation group 3, an immediate shutdown instruction is generated to make the unloading device stop working immediately.

[0066] The execution unit is used to execute corresponding operations according to corresponding instructions.

[0067] The multi-party monitoring unit includes a unloading monitoring module and a remote control and management module;

[0068] The unloading monitoring module is used to obtain the operating status of the unloading device; the operating status includes the temperature and decibel of the driving parts on the unloading device, the oil level of the transmission parts on the unloading device, and external pictures; among them, the driving parts include motor bearings, reducers, oil pumps, etc.; the transmission parts include gearboxes, oil pumps, lubrication-required parts for transmission, etc.

[0069] The remote control and management module is used to obtain relevant information of the transportation equipment; the relevant information includes the real-time position of the transportation equipment, the model and number of the cargo compartments, the real-time speed of the transportation equipment, and the temperature of the corresponding areas on the driving route of the transportation equipment; the camera is used to capture images of the cargo compartment numbers of the transportation equipment, and the proximity switch is used to record the number of cargo compartments of the transportation equipment.

[0070] The specific process of the remote control and management module for correcting the position of the cargo compartment of the transportation equipment is as follows: the speed control system of the transportation equipment itself is taken over by the server, the distance difference between the corresponding numbered cargo compartment and the unloading device is obtained, and the server adjusts the speed of the transportation equipment until the number of the cargo compartment is paired with the working position of the unloading device. After the pairing is completed, a unloading position compliance signal is generated.

[0071] The server also includes a difference analysis module and a personnel allocation module;

[0072] The difference analysis module is used to perform anomaly analysis on the operating status of the unloading device, obtain the temperature influence value WY, sound influence value SY, and lubrication influence value RY corresponding to the influence total value ZY, perform difference calculations with the corresponding set thresholds respectively to obtain the corresponding temperature deviation value wy, sound deviation value sy, and lubrication deviation value ry, normalize the three of them, and substitute them into the preset formula To obtain the abnormal deviation ratio PY of the corresponding device, and generate a list of devices to be maintained according to the magnitude order of the abnormal deviation ratios;

[0073] The personnel deployment module is used to receive the status exception instruction and perform maintenance deployment operations to obtain the corresponding maintenance personnel; send the status exception instruction, the list of devices to be maintained, and the numbers and positions of the corresponding devices to the smart terminals of the maintenance personnel; after the maintenance personnel receive the status exception instruction, the list of devices to be maintained, and the numbers and positions of the corresponding devices through the smart terminals, they perform maintenance and repair on the corresponding devices; receive the immediate shutdown instruction and perform emergency repair deployment operations to obtain the corresponding emergency repair personnel; send the immediate shutdown instruction, the list of devices to be repaired urgently, and the numbers and positions of the corresponding devices to the smart terminals of the emergency repair personnel; after the emergency repair personnel receive the status exception instruction, the list of devices to be repaired urgently, and the numbers and positions of the corresponding devices through the smart terminals, they replace and repair the corresponding devices.

[0074] The specific steps corresponding to the maintenance deployment operation and the emergency repair deployment operation performed by the personnel deployment module are as follows:

[0075] Obtain the maintenance personnel corresponding to the status exception instruction for the unloading device; send a feedback information acquisition instruction to the smart terminals of all maintenance personnel to obtain the current positions, idle / busy status of the maintenance personnel; obtain the maintenance personnel in the idle state, calculate the distance between the current position of the maintenance personnel in the idle state and the position of the device corresponding to the maintenance deployment operation to obtain the person-device distance FX1; obtain the working years and the total number of work shifts in the current month of the maintenance personnel and mark them as FX2 and FX3; mark the working years, the total number of work shifts in the current month, and the person-device distance of the maintenance personnel as personnel parameters.

[0076] Normalize the working years, the total number of work shifts in the current month, and the person-device distance, and substitute them into the formula to obtain the deployment value FX of the maintenance personnel; through the formula, the smaller the person-device distance, the greater the working years, and the fewer the total number of work shifts in the current month of the maintenance personnel, the greater the deployment value, indicating that the probability of this maintenance personnel going to perform maintenance and repair on the corresponding device is greater; mark the five maintenance personnel with the largest deployment values as the pre-maintenance personnel, send a pre-maintenance signal to the smart terminals of the pre-maintenance personnel and give a prompt, the pre-maintenance personnel send a confirmation signal through the smart terminal and mark the feedback time as the confirmation time, mark the pre-maintenance personnel with the smallest confirmation time as the maintenance personnel; if the pre-maintenance personnel do not give feedback within the specified time, or all give negative feedback signals, then mark the pre-maintenance personnel with the largest deployment value as the maintenance personnel.

[0077] Obtain the repair personnel corresponding to the immediate shutdown instruction for the unloading device; send a feedback information acquisition instruction to the smart terminals of all repair personnel to obtain the current positions, idle / busy status of the repair personnel; calculate the distance between the idle repair personnel and the position of the device corresponding to the emergency repair deployment operation to obtain the fault distance BX1; obtain the working years, the relevant certificate levels, and the total number of repairs of the corresponding repair personnel and mark them as BX2, BX3, and BX4.

[0078] Normalize the fault spacing, working years, relevant certificate level, and total number of repairs of the corresponding maintenance personnel, and substitute them into the formula to obtain the emergency repair value BX of the maintenance personnel; through the formula, the smaller the fault spacing, the greater the working years, the higher the relevant certificate level, and the greater the total number of repairs of the maintenance personnel, the greater the emergency repair value, indicating that the probability of the maintenance personnel replacing and repairing the corresponding device is greater; mark the three maintenance personnel with the largest emergency repair values as the personnel to be repaired, send an emergency repair signal to the corresponding intelligent terminal and give a prompt, and mark the personnel to be repaired as the emergency repair personnel after the emergency repair personnel confirm the signal through the intelligent terminal; if there is no feedback or a negative feedback signal from the personnel to be repaired within the specified time, select the personnel to be repaired in order from the largest to the smallest according to the maximum emergency repair value, and perform the above operations repeatedly until the number of emergency repair personnel meets three.

[0079] The server also includes a driving processing module, which is used to analyze the starting position of the transportation equipment and the working position of the unloading device. The specific analysis process is as follows:

[0080] Generate a driving route based on the real-time position of the transportation equipment and the working position of the unloading device; identify the areas to be passed through, the driving distance, and the real-time speed of the transportation equipment in the driving route to generate the estimated arrival time at the corresponding area; obtain the current temperature of the area corresponding to the estimated arrival time, sum up all the current temperatures in the area and calculate the average value to obtain the transportation temperature value QW; obtain the driving duration TR of the area through the real-time speed of the transportation equipment and the driving distance of the corresponding area, calculate the transportation temperature value QW of all areas and the driving duration TR of the corresponding area, and substitute them into the formula XZ = [(QW + 60) × i1] / TR to obtain the box value XZ; where, i1 is the influence coefficient of the heat transfer efficiency of the box on the transportation equipment; when the box value is within the corresponding set threshold, generate a normal signal for the box, and then select the working position of the unloading device as the estimated arrival position; when the box value is less than the corresponding set threshold, it is determined that the coal material in the box is bonded due to temperature influence, and a low temperature signal for the box is generated; change the estimated arrival position to the working position of the frozen coal thawing device; when the real-time position of the transportation equipment reaches the working position of the frozen coal thawing device and the frozen coal thawing device works, adjust the speed of the transportation equipment according to the box value corresponding to the low temperature signal of the box and the thawing efficiency of the frozen coal thawing device.

[0081] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments only. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An automatic control system for a coal receiving bunker discharging device, characterized in that, The control system includes an execution unit, a processing unit, a multi-party monitoring unit, and a server; The multi-party monitoring unit is used to obtain the operating status of the unloading device and relevant information of the transportation equipment; The server receives the starting position of the transportation equipment and the working position of the unloading device, processes and feeds back the driving operation information of the transportation equipment to the processing unit; The processing unit receives the driving operation information, performs prediction processing, and sends it to the execution unit; among them, the driving operation information includes the driving route of the transportation equipment and the corresponding real-time speed; when the real-time position of the transportation equipment reaches the working position of the unloading device, the position of the carriage of the transportation equipment is corrected to obtain a unloading position compliance signal and sent to the execution unit; The processing unit receives the operating status of the unloading device and conducts fault detection and analysis to obtain temperature shadow value, sound shadow value, and lubrication shadow value respectively. When any one of the temperature shadow value, sound shadow value, and lubrication shadow value parameters is not within the corresponding set threshold, an immediate shutdown instruction is generated; and the temperature shadow value, sound shadow value, and lubrication shadow value are calculated to obtain an influence total value; when the influence total value is generated, an operation group is obtained; among them, the operation group includes control operation one, control operation two, and control operation three; each control operation corresponds to a value range; the influence total value is matched with all the value ranges in the operation group, and the specific matching is as follows: If the influence total value is within the corresponding value range of operation group one, an allowable unloading signal is generated, and the unloading device is allowed to perform unloading work; if the influence total value is within the corresponding value range of operation group two, a status abnormality instruction is generated; if the influence total value is within the corresponding value range of operation group three, an immediate shutdown instruction is generated to make the unloading device stop working immediately; The execution unit is used to execute corresponding operations according to corresponding instructions; The server also includes a difference analysis module and a personnel allocation module; The difference analysis module is used to analyze the abnormal conditions of the operating status of the unloading device to obtain the abnormal deviation ratio of the corresponding components, and generate a list of devices to be maintained according to the order of the abnormal deviation ratio; The personnel allocation module is used to receive the status abnormality instruction and perform maintenance allocation operations to obtain the corresponding maintenance personnel; send the status abnormality instruction, the list of devices to be maintained, and the numbers and positions of the corresponding devices to the intelligent terminals of the maintenance personnel; after receiving the status abnormality instruction, the list of devices to be maintained, and the numbers and positions of the corresponding devices through the intelligent terminal, the maintenance personnel perform maintenance and repair on the corresponding devices; receive the immediate shutdown instruction and perform emergency repair allocation operations to obtain the corresponding emergency repair personnel; send the immediate shutdown instruction, the list of devices to be repaired urgently, and the numbers and positions of the corresponding devices to the intelligent terminals of the emergency repair personnel; after receiving the status abnormality instruction, the list of devices to be repaired urgently, and the numbers and positions of the corresponding devices through the intelligent terminal, the emergency repair personnel replace and repair the corresponding devices.

2. The automatic control system for the coal receiving bunker unloading device according to claim 1, characterized in that, The multi-party monitoring unit includes a unloading monitoring module and a remote control module; The unloading monitoring module is used to obtain the operating status of the unloading device; the operating status includes the temperature and decibel of the driving parts on the unloading device, the oil level of the transmission parts on the unloading device, and external pictures; among them, the driving parts include motor bearings, reducers, and oil pumps; the transmission parts include gearboxes, oil pumps, and lubrication-required parts for transmission; The remote control module is used to obtain relevant information of the transportation equipment; the relevant information includes the real-time location of the transportation equipment, the model and number of the compartments, the real-time speed of the transportation equipment, and the temperature conditions in the corresponding areas along the driving route of the transportation equipment; the camera is used to capture images of the compartment numbers of the transportation equipment, and the proximity switch is used to record the number of compartments of the transportation equipment; The remote control module is also used for the specific process of correcting the position of the compartment of the transportation equipment: the speed control system of the transportation equipment itself is taken over by the server, the distance difference between the compartment with the corresponding number and the unloading device is obtained, and the server adjusts the speed per hour of the transportation equipment until the number of the compartment is paired with the working position of the unloading device. After the pairing is completed, a unloading position compliance signal is generated.

3. The automatic control system for a coal receiving bunker discharging device according to claim 1, characterized in that, The specific steps corresponding to the maintenance deployment operation and the emergency repair deployment operation of the personnel deployment module are respectively: Obtain the maintenance personnel corresponding to the status exception instruction for the unloading device; send an information acquisition instruction to the intelligent terminals of all maintenance personnel to obtain the working parameters of the maintenance personnel, process the working parameters to obtain the deployment value of the maintenance personnel; mark the five with the largest deployment values as the pre-maintenance personnel, send a pre-maintenance signal to the intelligent terminals of the pre-maintenance personnel and give a prompt. The pre-maintenance personnel send a confirmation signal through the intelligent terminal and mark the feedback time as the confirmation moment, and mark the pre-maintenance personnel with the smallest confirmation moment as the maintenance personnel; if there is no feedback from the pre-maintenance personnel within the specified time, or all feedback negative signals, then mark the pre-maintenance personnel with the largest deployment value as the maintenance personnel; Obtain the repair personnel corresponding to the immediate shutdown instruction for the unloading device; send an information acquisition instruction to the intelligent terminals of all repair personnel to obtain the working parameters of the repair personnel, process the working parameters to obtain the emergency repair value of the repair personnel; mark the three with the largest emergency repair values as the personnel to be repaired, send an emergency repair signal to the corresponding intelligent terminals and give a prompt. After the personnel to be repaired send a confirmation signal through the intelligent terminal, mark the personnel to be repaired as the emergency repair personnel; if there is no feedback or feedback negative signal from the personnel to be repaired within the specified time, then select the personnel to be repaired in order from the largest to the smallest of the maximum emergency repair values. Repeat the above operations until the number of emergency repair personnel meets three.

4. An automatic control system for a coal receiving bunker discharging device according to claim 1, characterized in that, The specific process by which the processing unit receives the operating status of the unloading device and conducts fault detection and analysis to obtain the temperature influence value is: Obtain the start time of the unloading device and mark it as the first moment; calculate the time difference between the first moment and the current moment to obtain the working duration; obtain the working threshold corresponding to the unloading device, and subtract the working duration from the working threshold to obtain the working difference; Obtain the corresponding ambient temperatures of all driving components of the unloading device, sort the corresponding ambient temperatures according to the acquisition time sequence, substitute the corresponding ambient temperatures and acquisition times into the corresponding line chart, mark the points of the corresponding ambient temperatures in the line chart as corresponding temperature points, connect adjacent temperature points to obtain a temperature line, calculate the slope of the temperature line. When the slope is positive, mark this slope as the temperature rise slope; when the slope is negative, mark this slope as the temperature drop slope; sum up all the corresponding temperature rise slopes and divide by their number to obtain the average rise slope; sum up the absolute values of all the corresponding temperature drop slopes and divide by their number to obtain the average drop slope; calculate the fluctuation total value from the average rise slope and average drop slope of the corresponding driving component; Divide the first moment and the current moment into several working periods at equal time intervals, select the highest temperature of the driving component's ambient temperature in each working period, screen the corresponding highest temperature, mark the highest temperature greater than the corresponding set threshold as the different temperature value, sum up all the different temperature values and divide by the number of different temperature values to obtain the different average value; Normalize the processed tolerance value WY1, the total fluctuation value WY2, and the difference mean value WY3, and substitute them into the preset formula to obtain the temperature shadow value WY; where , , are the corresponding weight correction factors.

5. The automatic control system for the coal receiving bunker discharging device according to claim 1, wherein The specific process by which the processing unit receives the operating state of the unloading device and conducts fault detection and analysis to obtain the sound shadow value is as follows: Obtain the corresponding ambient decibels of all driving components of the unloading device within a specified time range at the current moment, sort the corresponding ambient decibels according to the acquisition time, substitute the corresponding ambient decibels and acquisition times into the corresponding line chart, mark the points of the corresponding ambient decibels in the line chart as corresponding decibel points, connect adjacent two decibel points to obtain a decibel line, calculate the length of the decibel line, mark the starting decibel point as the decibel coordinate point, mark the decibel line in the first quadrant of the corresponding decibel coordinate point as the high decibel line, and mark the decibel line in the fourth quadrant of the corresponding decibel coordinate point as the low decibel line; sum up all the corresponding high decibel lines and divide by their number to obtain the average high decibel value, sum up all the corresponding low decibel lines and divide by their number to obtain the average low decibel value, calculate the decibel fluctuation value from the average high decibel value and average low decibel value of the corresponding driving component; Preset several decibel time zones within the specified time range, select the maximum decibel of the driving component's ambient decibel in each decibel time zone, screen it, mark the maximum decibel greater than the corresponding set threshold as the abnormal sound value, sum up all the abnormal sound values and divide by their number to obtain the abnormal sound average value; Normalize the already processed tolerance value WY1, decibel fluctuation value SY2, and abnormal sound mean value SY3, and substitute them into the formula to obtain the sound shadow value SY; where a1, a2, and a3 are the corresponding weight correction factors.

6. The automatic control system for a coal receiving bunker discharging device according to claim 1, characterized in that, The specific process by which the processing unit receives the operating state of the unloading device and conducts fault detection and analysis to obtain the lubrication shadow value is as follows: Select the most recent oil filling moment at the current moment of the unloading device, mark this oil filling moment as the maintenance oil filling moment; if there is no oil filling moment, mark the installation moment of the transmission component as the maintenance oil filling moment; calculate the time difference between the maintenance oil filling moment and the current moment to obtain the corresponding non - filled duration; subtract the corresponding set duration threshold from the non - filled duration to obtain the non - filled difference; Obtain the oil level of the driving component on the unloading device. Set several oil time zones according to the non - filling duration. Subtract the minimum value of the oil level in the oil time zone from the maximum value to obtain the corresponding oil consumption value. Sum up the oil consumption values of all oil time zones and take the average to get the oil average value. Screen the average consumption value, mark the average consumption value greater than the corresponding fuel consumption threshold as an abnormal consumption value. Sum up all the abnormal consumption values and take the average to get the abnormal consumption average value; Obtain the external picture of the driving component on the unloading device and send it to the picture analyzer. Enlarge the picture by several times to form a pixel - grid picture, and obtain the chromaticity value of the corresponding pixel - grid picture through the picture analyzer. Screen the pixel - grid picture, select the number of chromaticity values of the pixel - grid picture within the corresponding oil chromaticity threshold and mark it as the leakage grid number. Calculate the area of the leakage grid number to obtain the leakage area value. Sum up all the leakage area values to get the total oil leakage value; Normalize the unadded difference value RY1, the total abnormal consumption value RY2, and the total oil leakage value RY3, and substitute them into the formula to obtain the lubrication shadow value RY; where b1, b2, and b3 are the corresponding weight correction factors.

7. The automatic control system for the coal receiving bunker discharging device according to claim 1, characterized in that, The server also includes a driving processing module, which is used to analyze the starting position of the transportation equipment and the working position of the unloading device. The specific analysis process is as follows: Generate a driving route according to the real - time position of the transportation equipment and the working position of the unloading device; Identify the areas to pass through, the driving distance, and the real - time speed of the transportation equipment in the driving route to generate the estimated arrival time at the corresponding area; Obtain the immediate temperature of the area corresponding to the estimated arrival time. Sum up all the immediate temperatures in this area and calculate the average value to get the transportation temperature value. Obtain the driving duration in the area through the real - time speed of the transportation equipment and the driving distance in the corresponding area. Calculate the transportation temperature value of all areas and the driving duration in the corresponding area to obtain the box - shaped value. When the box - shaped value is within the corresponding set threshold, generate a normal signal for the box - warehouse, and then select the working position of the unloading device as the estimated arrival position. When the box - shaped value is less than the corresponding set threshold, it is determined that the coal material in the box - warehouse is bonded due to temperature influence, and a low - temperature signal for the box - warehouse is generated. Change the estimated arrival position to the working position of the frozen coal thawing device. When the real - time position of the transportation equipment reaches the working position of the frozen coal thawing device and the frozen coal thawing device works, adjust the speed of the transportation equipment according to the box - shaped value corresponding to the low - temperature signal of the box - warehouse and the thawing efficiency of the frozen coal thawing device.

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