Energy-saving type warehousing system based on intelligent integration

Abstract

The invention discloses an energy-saving type warehousing system based on intelligent integration, and belongs to the technical field of grain conveying systems.The energy-saving type warehousing system comprises a transportation supervision platform, and the transportation supervision platform is in communication connection with a real-time transportation analysis unit, a carried grain shape analysis unit, a fault risk unit and a regulation and control starting and stopping unit; when the transportation supervision platform monitors that the grain depot loads grains for transfer, a supervision instruction is generated, and the supervision instruction is sent to the real-time transportation analysis unit; according to the method, grain transshipment and equipment of the grain depot are analyzed one by one, multiple analysis is carried out according to external product screening parameters and internal product screening parameters of a body of the grain transshipment of the grain depot, it is guaranteed that grain batches with excellent quality control and grain batches with poor quality control are subjected to split-flow processing, and related multi-stage signals are generated accordingly; and related transportation equipment is controlled to be started and stopped in a targeted manner, so that the transportation equipment is prevented from being in an idle starting state, and energy-saving operation of equipment in the grain depot is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of grain transportation systems, and in particular to an energy-saving silo system based on intelligent integration. Background Art

[0002] During the grain transportation stage, it mainly relies on various transportation tools and grain conveying machinery. These machines use the principles of fluid mechanics and the fluid dynamics effect in the pipeline system to enable the grain to be automatically transported from the place of production to the warehouse under the movement of mechanical arms or conveyor belts. Common grain conveying machinery includes bucket elevators, scraper conveyors, screw conveyors, etc., which can complete the grain transportation task efficiently and continuously.

[0003] When grain is put into storage, it is usually unloaded from the transport vehicle by grain conveying machinery and sent into the storage via a conveyor belt or pipe system. For tall storage silos such as vertical silos, special lifting equipment is also used to lift the grain to the top of the silo, and then use gravity to make the grain fall into the silo.

[0004] In combination with the above content, it should be explained that during the transportation of grain in metal silos, due to the limitations of traditional machinery that is used separately and is spliced ​​together, personnel are required to manually open and close them one by one according to the transportation steps, or the equipment in the designed area is opened uniformly. It is impossible to carry out targeted and intelligent regulation of the opening and closing of related equipment according to the current status of the grain and the required method of transportation into the silo.

[0005] In view of the above-mentioned technical defects, a solution is now proposed. Summary of the invention

[0006] The purpose of the present invention is to provide an energy-saving bin loading system based on intelligent integration to solve the problems raised.

[0007] To achieve the above object, the present invention provides the following technical solutions: an energy-saving silo system based on intelligent integration, including a transportation supervision platform, wherein the transportation supervision platform is communicatively connected with a real-time transportation analysis unit, a transported grain condition analysis unit, a fault risk unit and a control opening and closing unit;

[0008] The real-time transport analysis unit is used to collect external product screening parameters and internal product screening parameters of grain loaded in the grain depot, and send the external product screening parameters and internal product screening parameters to the transported grain analysis unit;

[0009] After receiving the external product screening parameters and the internal product screening parameters, the transport grain analysis unit first evaluates and analyzes the quality control status of the external product screening parameters, compares and analyzes the obtained good product summary value and the residue ratio value, and obtains the quality control status index PK; secondly, the internal product screening parameters are evaluated and analyzed for the numerical fluctuation of the ratio, and the transport ratio numerical coefficient FB is obtained;

[0010] The fault risk unit is used to collect the operating characteristic parameters of the transportation equipment for loading grain in the grain depot, and to perform hidden danger analysis on the operating characteristic parameters, to compare and analyze the obtained fault risk coefficient YH, to obtain a fault risk signal and send it to the control and opening and closing unit.

[0011] Furthermore, the process of evaluating and analyzing the quality control status of the transported grain condition analysis unit is as follows:

[0012] The time from the start time to the end time of loading grain into the grain depot is collected and set as the test period, and the external screening parameters of the grain in the test period are obtained. The external screening parameters include the superior quality summary value and the residue ratio value. The superior quality summary value indicates that the grain particles are above the qualified standard when the grain appearance is compared with the sample. The residue ratio value indicates the ratio of broken residues to qualified grain particles in the grain particles. The superior quality summary value and the residue ratio value are compared and analyzed with the preset superior quality summary value threshold and the preset residue ratio threshold stored in the transportation supervision platform.

[0013] Furthermore, if the superior product summary value is greater than a preset superior product summary value threshold, or the residue proportion value is less than a preset residue proportion value threshold, a first-level operation signal is determined;

[0014] If the superior product summary value is less than or equal to the preset superior product summary value threshold, and the residue proportion value is greater than or equal to the preset residue proportion value threshold, it is judged as a secondary operation signal, and the primary operation signal and the secondary operation signal are sent to the control start and stop unit in real time. At the same time, the primary operation signal and the secondary operation signal are set as the quality control status index PK, PK = 1 or 2.

[0015] Furthermore, the process of evaluating and analyzing the fluctuation of the value of the ratio by the transported grain condition analysis unit is as follows;

[0016] The internal screening parameters of the grain particles within the test period are obtained. The internal screening parameters are expressed as grain moisture content and grain fullness value. The grain moisture content is expressed as the internal moisture value of the grain during transportation, and then the continuous value of the grain particles is obtained. The grain fullness value is expressed as the comparison value of the grain particles with the standard particles, and the continuous value is expressed as the product of the grain fullness value and the normalized value of the grain internal moisture value data.

[0017] Furthermore, the internal and external temperatures of the grain grains from the start time to the end time of transportation within the test period are obtained, and the difference in the internal and external temperatures of the grain grains from the start time to the end time of transportation is set as the temperature difference attenuation value;

[0018] The particle moisture content, particle fullness value, duration value and temperature difference attenuation value are marked as Hs, Bm, Cx and Wj respectively;

[0019] According to the formula The numerical coefficient of the carrying ratio is obtained, where a1, a2, a3 and a4 are preset proportional factor coefficients of particle moisture content, particle fullness value, continuous value and temperature difference attenuation value, respectively; a1, a2, a3 and a4 are all natural numbers greater than zero; a5 is the preset fault tolerance factor coefficient, which is 1.58; and FH is the numerical coefficient of the carrying ratio.

[0020] Furthermore, the hidden danger analysis process of the fault risk unit is as follows:

[0021] The operation characteristic parameters of the transport equipment within the test period are obtained. The operation characteristic parameters include the transport efficiency value and the power supply stability value, which are marked as Ys and Gd respectively; the transport efficiency value is expressed as the interval combination value obtained by comparing the difference between the actual grain transport measurement combination value and the set grain transport measurement combination value of the transport equipment after data normalization, and the actual grain transport measurement range includes the actual total weight of grain and the actual transport omission amount;

[0022] The power supply stability value is expressed as the value corresponding to the power load parameter required for the operation of the transportation equipment exceeds the overlap value range corresponding to the preset threshold. The power load parameters include line loss, operating environment temperature and power supply. The fault risk coefficient GZ is obtained according to the formula, and the fault risk coefficient GZ is compared with the preset fault risk coefficient threshold entered and stored in the transportation supervision platform. If the ratio between the fault risk coefficient GZ and the preset fault risk coefficient threshold is less than 1, no signal is generated. If the ratio between the fault risk coefficient GZ and the fault risk coefficient threshold is greater than 1, a fault risk signal is generated.

[0023] The beneficial effects of the present invention are:

[0024] 1. The present invention analyzes the grain and equipment transferred in the grain depot one by one, and conducts multiple analyses according to the external screening parameters and internal screening parameters of the grain transporting body of the grain depot, so as to ensure that the grain batches with excellent quality control and the grain batches with poor quality control are diverted and processed, and accordingly generates relevant multi-level signals, and controls the relevant transportation equipment to be opened and closed in a targeted manner, thereby avoiding the empty start state of the transportation equipment and realizing energy-saving operation of the equipment in the grain depot.

[0025] 2. The present invention compares and analyzes the operating characteristics of the transportation equipment inside the grain warehouse to determine whether the transportation equipment has any faults during use, and whether it is operating at risk under potential faults. This makes it convenient for personnel to perform early maintenance on equipment with a risk of failure, and can avoid abnormally high energy consumption operation of the transportation equipment, and avoid abnormal grain transportation caused by abnormally operating equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 It is a system overall flow chart of the present invention;

[0028] Figure 2 It is a partial flow chart of the system of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Example 1: Please refer to Figure 1 - Figure 2 As shown, this embodiment is an energy-saving silo system based on intelligent integration, including a transportation supervision platform, which is communicatively connected with a real-time transportation analysis unit, a transported grain condition analysis unit, a fault risk unit, and a control opening and closing unit;

[0031] When the transportation supervision platform detects that the grain depot is loaded with grain for transshipment, it generates a supervision instruction and sends the supervision instruction to the real-time transportation analysis unit. After receiving the supervision instruction, the real-time transportation analysis unit immediately collects the external product screening parameters and internal product screening parameters of the grain loaded in the grain depot.

[0032] The real-time transport analysis unit sends the external product screening parameters and the internal product screening parameters to the transport grain analysis unit. After receiving the external product screening parameters and the internal product screening parameters, the transport grain analysis unit first evaluates and analyzes the quality control status of the external product screening parameters, compares and analyzes the obtained good product summary value and the residue ratio value, and obtains the quality control status index PK. The process of the transport grain status analysis unit evaluating and analyzing the quality control status is as follows:

[0033] The time from the start time to the end time of loading grain into the grain depot is collected and set as the test period, and the external screening parameters of the grain in the test period are obtained. The external screening parameters include the superior quality summary value and the residue ratio value. The superior quality summary value indicates that the grain particles are above the qualified standard when the grain appearance is compared with the sample. The residue ratio value indicates the ratio of broken residues to qualified grain particles in the grain particles. The superior quality summary value and the residue ratio value are compared and analyzed with the preset superior quality summary value threshold and the preset residue ratio threshold stored in the transportation supervision platform.

[0034] If the superior product summary value is greater than the preset superior product summary value threshold, or the residue proportion value is less than the preset residue proportion value threshold, the first-level operation signal is determined and sent. The first-level operation signal indicates that the batch of grain is in normal state and is marked as qualified grain.

[0035] If the high-quality summary value is less than or equal to the preset high-quality summary value threshold, and the residue proportion value is greater than or equal to the preset residue proportion value threshold, it is judged as a secondary operation signal and sent to the control start and stop unit. The primary operation signal indicates that the batch of grain is in an abnormal state and is marked as unqualified grain.

[0036] The primary operation signal and the secondary operation signal are sent to the control opening and closing unit in real time, and the primary operation signal and the secondary operation signal are set as the quality control index PK, PK=1 or 2.

[0037] When the quality control status index PK is 1, the regulating and opening and closing unit controls some of the transport components in the transport equipment that go directly to the qualified granary, transports the batch of qualified grain for separate storage, and controls its transport equipment to suspend operation.

[0038] When the quality control status index PK is 2, the regulating opening and closing unit controls some of the transport components in the transport equipment that go directly to the unqualified grain silo, transports the batch of unqualified grain to separate storage, and controls its transport equipment to suspend operation.

[0039] The numerical fluctuation evaluation and analysis of the internal product screening parameters is performed to obtain the transport numerical coefficient FB. The process of the transport grain condition analysis unit evaluating and analyzing the numerical fluctuation of the ratio is as follows;

[0040] The internal screening parameters of the grain particles within the test period are obtained. The internal screening parameters are expressed as grain moisture content and grain fullness value. The grain moisture content is expressed as the internal moisture value of the grain during transportation, and then the continuous value of the grain grain is obtained. The grain fullness value is expressed as the comparison value of the grain grain and the standard grain. The continuous value is expressed as the product of the grain fullness value and the normalized value of the internal moisture value of the grain. It should be noted that the more moisture content and grain fullness the transported grain uses, the worse the drying treatment of the batch of transported grain is, and the more likely it is to germinate during storage.

[0041] Obtain the internal and external temperatures of the grain grains from the start time to the end time of transportation within the test period, and set the internal and external temperature difference of the grain grains from the start time to the end time of transportation as the temperature difference attenuation value;

[0042] The particle moisture content, particle fullness value, duration value and temperature difference attenuation value are marked as Hs, Bm, Cx and Wj respectively;

[0043] According to the formula The numerical coefficient of the carrying ratio is obtained, where a1, a2, a3 and a4 are preset proportional factor coefficients of particle moisture content, particle fullness value, continuous value and temperature difference attenuation value, respectively; a1, a2, a3 and a4 are all natural numbers greater than zero; a5 is the preset fault tolerance factor coefficient, which is 1.58; and FH is the numerical coefficient of the carrying ratio.

[0044] Embodiment 2: This embodiment is an energy-saving silo system based on intelligent integration, including a fault risk unit for collecting operating characteristic parameters of the transportation equipment for loading grain in the grain depot, and performing hidden danger analysis on the operating characteristic parameters, performing comparative analysis on the obtained fault risk coefficient YH, obtaining a fault risk signal and sending it to the control opening and closing unit. The hidden danger analysis process of the fault risk unit is as follows:

[0045] The operation characteristic parameters of the transport equipment within the test period are obtained. The operation characteristic parameters include the transport efficiency value and the power supply stability value, which are marked as Ys and Gd respectively; the transport efficiency value is represented by the interval combination value obtained by comparing the difference between the actual grain transport measurement combination value and the set grain transport measurement combination value of the transport equipment after data normalization. The actual grain transport measurement range includes the actual total weight of grain and the actual transport omission amount. It should be noted that the grain transport status is analyzed according to the transport equipment to determine whether the operation of the transport equipment is normal;

[0046] The power supply stability value is represented by the value corresponding to the power load parameter required for the operation of the transportation equipment exceeding the overlap value range corresponding to the preset threshold value, and the power load parameter includes line loss, operating environment temperature and power supply;

[0047] According to the formula Obtain the fault risk coefficient, where b1, b2, b3 and b4 are respectively the preset weight factor coefficients of the transport efficiency value, power supply stability value, quality control status index and load ratio numerical coefficient, b1, b2, b3 and b4 are all natural numbers greater than zero, YH is the fault risk coefficient, and the fault risk coefficient GZ is compared with the preset fault risk coefficient threshold value entered and stored in the transport supervision platform;

[0048] If the ratio between the fault risk factor GZ and the preset fault risk factor threshold is less than 1, no signal is generated;

[0049] If the ratio between the fault risk coefficient GZ and the fault risk coefficient threshold is greater than 1, a fault risk signal is generated and sent to the control and opening and closing unit. When the control and opening and closing unit receives the fault risk signal, it immediately generates a text reminder message in the style of "xx serial number, abnormal risk, timely maintenance" and sends it to the display screen of the main control center.

[0050] The threshold is set to facilitate comparison. The threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value. The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the true value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions.

[0051] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An energy-saving loading system based on intelligent integration, including a transportation supervision platform, characterized in that: The transport supervision platform is communicatively connected with a real-time transport analysis unit, a transported grain condition analysis unit, a fault risk unit and a control opening and closing unit; The real-time transport analysis unit is used to collect external product screening parameters and internal product screening parameters of grain loaded in the grain depot, and send the external product screening parameters and internal product screening parameters to the transported grain analysis unit; After receiving the external product screening parameters and the internal product screening parameters, the transport grain analysis unit first evaluates and analyzes the quality control status of the external product screening parameters, compares and analyzes the obtained good product summary value and the residue ratio value, and obtains the quality control status index PK; secondly, the internal product screening parameters are evaluated and analyzed for the numerical fluctuation of the ratio, and the transport ratio numerical coefficient FB is obtained; The fault risk unit is used to collect the operating characteristic parameters of the transportation equipment for loading grain in the grain depot, and to perform hidden danger analysis on the operating characteristic parameters, to compare and analyze the obtained fault risk coefficient YH, to obtain a fault risk signal and send it to the control and opening and closing unit.

2. The energy-saving silo system based on intelligent integration according to claim 1 is characterized in that: The process of evaluating and analyzing the quality control status of the transported grain condition analysis unit is as follows: The time from the start time to the end time of loading grain into the grain depot is collected and set as the test period, and the external screening parameters of the grain in the test period are obtained. The external screening parameters include the superior quality summary value and the residue ratio value. The superior quality summary value indicates that the grain particles are above the qualified standard when the grain appearance is compared with the sample. The residue ratio value indicates the ratio of broken residues to qualified grain particles in the grain particles. The superior quality summary value and the residue ratio value are compared and analyzed with the preset superior quality summary value threshold and the preset residue ratio threshold stored in the transportation supervision platform.

3. The energy-saving silo system based on intelligent integration according to claim 2 is characterized in that: If the superior product summary value is greater than the preset superior product summary value threshold, or the residue proportion value is less than the preset residue proportion value threshold, a first-level operation signal is determined; If the superior product summary value is less than or equal to the preset superior product summary value threshold, and the residue proportion value is greater than or equal to the preset residue proportion value threshold, it is judged as a secondary operation signal, and the primary operation signal and the secondary operation signal are sent to the control start and stop unit in real time. At the same time, the primary operation signal and the secondary operation signal are set as the quality control status index PK, PK = 1 or 2.

4. The energy-saving silo system based on intelligent integration according to claim 1 is characterized in that: The process of evaluating and analyzing the fluctuation of the value of the ratio by the transported grain condition analysis unit is as follows: The internal screening parameters of the grain particles within the test period are obtained. The internal screening parameters are expressed as grain moisture content and grain fullness value. The grain moisture content is expressed as the internal moisture value of the grain during transportation, and then the continuous value of the grain particles is obtained. The grain fullness value is expressed as the comparison value of the grain particles with the standard particles, and the continuous value is expressed as the product of the grain fullness value and the normalized value of the grain internal moisture value data.

5. The energy-saving silo system based on intelligent integration according to claim 4 is characterized in that: The temperature inside and outside the grain particles from the start time to the end time of transportation within the test period is obtained, and the temperature difference between the start time and the end time of transportation is set as the temperature difference attenuation value; The particle moisture content, particle fullness value, duration value and temperature difference attenuation value are marked as Hs, Bm, Cx and Wj respectively; According to the formula The numerical coefficient of the carrying ratio is obtained, where a1, a2, a3 and a4 are preset proportional factor coefficients of particle moisture content, particle fullness value, continuous value and temperature difference attenuation value, respectively; a1, a2, a3 and a4 are all natural numbers greater than zero; a5 is the preset fault tolerance factor coefficient, which is 1.58; and FH is the numerical coefficient of the carrying ratio.

6. The energy-saving silo system based on intelligent integration according to claim 1 is characterized in that: The hidden danger analysis process of the fault risk unit is as follows: The operation characteristic parameters of the transport equipment within the test period are obtained. The operation characteristic parameters include the transport efficiency value and the power supply stability value, which are marked as Ys and Gd respectively; the transport efficiency value is expressed as the interval combination value obtained by comparing the difference between the actual grain transport measurement combination value and the set grain transport measurement combination value of the transport equipment after data normalization, and the actual grain transport measurement range includes the actual total weight of grain and the actual transport omission amount; The power supply stability value is represented by the value corresponding to the power load parameter required for the operation of the transportation equipment exceeding the overlap value range corresponding to the preset threshold value, and the power load parameter includes line loss, operating environment temperature and power supply; The failure risk coefficient GZ is obtained according to the formula, and the failure risk coefficient GZ is compared with the preset failure risk coefficient threshold value entered and stored in the transportation supervision platform; If the ratio between the fault risk coefficient GZ and the preset fault risk coefficient threshold is less than 1, no signal is generated. If the ratio between the fault risk coefficient GZ and the fault risk coefficient threshold is greater than 1, a fault risk signal is generated.

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