CN113934967B - Intelligent storage sample-checking feedback supervision system for coal samples - Google Patents
Intelligent storage sample-checking feedback supervision system for coal samples Download PDFInfo
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Abstract
The invention discloses an intelligent storage sample-searching feedback supervision system for coal samples, which relates to the technical field of storage sample-searching feedback supervision of coal samples and solves the technical problem that a plurality of data analysis can not be carried out on the coal sample-searching in the prior art; the operation of the storage cabinets in the selected area is monitored, so that the operation sequence of the storage cabinets is improved, and the storage efficiency is prevented from being reduced due to the disordered operation of the storage cabinets; carrying out environmental analysis monitoring on the storage cabinet for sample checking, and judging the influence of the storage cabinet environment on the coal sample; judging whether the storage of the coal samples in the corresponding sample checking storage cabinets is abnormal or not; therefore, the state of the coal samples stored in the sample searching storage cabinet in real time is judged, and the qualification rate of the coal samples is improved.
Description
Technical Field
The invention relates to the technical field of coal sample storage and sample searching feedback supervision, in particular to an intelligent storage and sample searching feedback supervision system for coal samples.
Background
China is the largest coal producing country and consuming country in the world, and the total quantity of coal production and consumption exceeds 35 hundred million tons since 2011. Coal occupies an important position in national economic development as energy, and coal quality control for ensuring fairness and avoiding human factor interference is always a problem which is focused and urgently needed to be solved in industries such as coal and downstream metallurgy, electric power, building materials, chemical industry and the like.
However, in the prior art, the storage position of the coal sample cannot be reasonably determined in the storage process, so that the storage efficiency of the coal sample cannot be guaranteed, and meanwhile, when the coal sample corresponding to the storage is searched, the coal sample to be searched cannot be analyzed in multiple aspects, so that the influence factors of the coal sample cannot be determined, the storage cabinet corresponding to the coal sample cannot be optimized, and the storage efficiency of the coal sample cannot be effectively improved.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems and provides an intelligent storage sample-searching feedback supervision system for coal samples, which is used for determining the setting position of a storage cabinet of the coal samples, preventing the coal samples from being stored abnormally due to the abnormal position of the storage cabinet, reducing the use quality of the coal samples, improving the operation efficiency of the storage cabinet, reducing the abrasion of the storage cabinet in the operation process and prolonging the operation life of the storage cabinet; carry out operation monitoring to the storage cabinet in selecting the region, improved the sequence nature of storing the cabinet operation, prevent to store the cabinet operation and lead to storing efficiency reduction in a jumble.
The purpose of the invention can be realized by the following technical scheme:
the intelligent storage sample-searching feedback supervision system for the coal samples comprises a coal storage sample-searching platform, wherein a storage operation supervision platform and an analysis feedback supervision platform are arranged in the coal storage sample-searching platform, a server is arranged in the storage operation supervision platform, and the server is in communication connection with an operation supervision unit, a storage cabinet positioning unit and a sample-searching unit; a processor is arranged in the analysis feedback supervision platform and is in communication connection with an environment monitoring unit, a sample analysis unit and a storage analysis unit;
the storage operation supervision platform is used for supervising the operation of the coal sample storage cabinet, and the server generates a storage cabinet positioning signal and sends the storage cabinet positioning signal to the storage cabinet positioning unit; determining the setting position of a storage cabinet of the coal sample through a storage cabinet positioning unit; the selected area is screened out and sent to the server, the server generates an operation monitoring signal after receiving the selected area and sends the operation monitoring signal to the operation monitoring unit, and the operation monitoring unit monitors the operation of the storage cabinet in the selected area;
the server receives a sample searching signal and a sample searching number sent by the mobile phone terminal of the manager and sends the sample searching signal and the sample searching number to a sample searching unit; the sample searching unit generates an analysis feedback instruction after receiving the sample searching signal and the sample searching number and sends the analysis feedback instruction to the analysis feedback supervision platform; the analysis feedback supervision platform is used for analyzing and monitoring coal samples corresponding to sample checking in the storage cabinet, the processor generates an environment monitoring signal and sends the environment monitoring signal to the environment monitoring unit, and the environment analysis and monitoring are carried out on the storage cabinet for sample checking through the environment monitoring unit; analyzing the coal sample in the sample checking and storing cabinet through a sample analyzing unit; and the storage of the coal samples in the sample checking and storing cabinet is analyzed through the storage analysis unit.
As a preferred embodiment of the present invention, the storage cabinet positioning unit is positioned as follows:
collecting a coal sample transportation point, marking a region around the coal sample transportation point as a storage region, and dividing the storage region into i storage subregions, wherein i is a natural number more than 1;
acquiring the all-day sunlight irradiation duration, the terrain height of the corresponding area and the air circulation speed of the corresponding area in each storage sub-area; by analyzing and acquiring the analysis positioning coefficient Xi of each storage sub-region,
comparing the analysis localization coefficients of the storage sub-regions with an analysis localization coefficient threshold:
if the analysis positioning coefficient of the storage sub-region is larger than or equal to the analysis positioning coefficient threshold value, judging that the corresponding storage sub-region is not suitable for being used as a storage cabinet placing region, marking the corresponding storage sub-region as an unselected region, and sending the unselected region to a server; and if the analysis positioning coefficient of the storage sub-region is smaller than the analysis positioning coefficient threshold value, judging that the corresponding storage sub-region is suitable to be used as a storage cabinet placing region, marking the corresponding storage sub-region as a selected region, and simultaneously sending the selected region to the server.
As a preferred embodiment of the present invention, the specific monitoring process of the operation monitoring unit is as follows:
arranging a plurality of sub-storage cabinets in the storage cabinet in the selected area, numbering and sequencing the sub-storage cabinets, binding coal samples transported in real time at coal sample transportation points with the sub-storage cabinets with corresponding numbers, and marking the sub-storage cabinets with the corresponding numbers as operation storage cabinets when the coal samples are stored in the sub-storage cabinets with the corresponding numbers; otherwise, marking the sub-storage cabinets with the corresponding numbers as idle storage cabinets; the running time of the running storage cabinet and the idle storage cabinet is collected, and the running storage cabinet, the idle storage cabinet and the corresponding running time are sent to the server to be stored in real time.
As a preferred embodiment of the present invention, the analysis monitoring process of the environment monitoring unit is as follows:
marking a storage cabinet for sample checking as a sample checking storage cabinet, setting a mark o, wherein o is a natural number larger than 1, acquiring a storage temperature threshold range and a storage humidity threshold range corresponding to the coal samples in the sample checking storage cabinet, respectively marking an upper limit value and a lower limit value of the storage temperature threshold range as WDomax and WDomin, and respectively marking an upper limit value and a lower limit value of the storage humidity threshold range as SDomax and SDomin;
setting monitoring time, acquiring a real-time temperature value and a real-time humidity value in the sample checking and storing cabinet within the monitoring time, and respectively marking the real-time temperature value and the real-time humidity value in the sample checking and storing cabinet within the monitoring time as SWo and SSo; obtaining an environmental analysis monitoring coefficient Do in a sample checking storage cabinet through analysis;
comparing the environmental analysis monitoring coefficient in the sample-checking storage cabinet with the threshold range of the environmental analysis monitoring coefficient:
if the environment analysis monitoring coefficient in the sample searching storage cabinet is within the threshold range of the environment analysis monitoring coefficient, judging that the environment of the corresponding sample searching storage cabinet is qualified, generating an environment non-influence signal and sending the environment non-influence signal and the corresponding sample searching storage cabinet to the processor together;
if the environmental analysis monitoring coefficient in the sample searching storage cabinet is not within the threshold range of the environmental analysis monitoring coefficient, judging that the environment of the corresponding sample searching storage cabinet is unqualified, generating an environmental influence signal, sending the environmental influence signal and the corresponding sample searching storage cabinet to a processor, and sending the environmental influence signal and the corresponding sample searching storage cabinet to a sample searching unit after the processor receives the environmental influence signal; and the sample searching unit receives the environmental influence signal and then performs environmental rectification on the corresponding sample searching storage cabinet.
As a preferred embodiment of the present invention, the analysis process of the sample analysis unit is as follows:
collecting the stacking angle of the coal samples in the sample checking storage cabinet and the top levelness of the stacked coal samples, and comparing the stacking angle of the coal samples in the sample checking storage cabinet and the top levelness of the stacked coal samples with an angle threshold range and a levelness threshold range respectively:
if any numerical value of the stacking angle of the coal samples in the sample searching storage cabinet and the levelness of the top of the stacked coal samples is not within the corresponding threshold range, judging that the storage efficiency in the corresponding sample searching storage cabinet is abnormal, generating a storage abnormal signal, sending the storage abnormal signal and the serial number of the corresponding sample searching storage cabinet to a processor, and sending the serial number of the corresponding sample searching storage cabinet and the storage abnormal signal to a sample searching unit after the processor receives the storage abnormal signal; the sample searching unit receives the serial number and the storage abnormal signal of the corresponding sample searching storage cabinet and stores the corresponding sample searching storage cabinet again;
and if the stacking angle of the coal samples in the sample searching storage cabinet and the levelness of the top of the stacked coal samples are both in the corresponding threshold range, judging that the storage efficiency in the corresponding sample searching storage cabinet is normal, generating a normal storage signal, and sending the normal storage signal and the corresponding sample searching storage cabinet number to the processor.
As a preferred embodiment of the present invention, the analysis process of the warehouse analysis unit is as follows:
acquiring the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the storage frequency and the taking frequency of the coal samples corresponding to the sample searching storage cabinet, and comparing the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the storage frequency and the taking frequency of the coal samples corresponding to the sample searching storage cabinet with an area ratio threshold and a frequency threshold respectively:
if any numerical value of the ratio of the occupied area of the coal sample stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the coal sample storage frequency corresponding to the sample searching storage cabinet to the extraction frequency is smaller than the corresponding threshold value, judging that the storage efficiency of the sample searching storage cabinet is unqualified, generating a signal with unqualified storage efficiency and sending the signal with unqualified storage efficiency to a sample searching unit;
if the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the corresponding coal sample storage frequency and the corresponding coal sample taking frequency of the sample searching storage cabinet are both larger than the corresponding threshold values, the storage efficiency of the sample searching storage cabinet is judged to be qualified, a storage efficiency qualified signal is generated, and the storage efficiency qualified signal and the corresponding sample searching storage cabinet are sent to a sample searching unit.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the coal sample storage cabinet, the setting position of the storage cabinet of the coal sample is determined, so that the coal sample storage abnormality caused by the abnormality of the position of the storage cabinet is prevented, the use quality of the coal sample is reduced, the operation efficiency of the storage cabinet can be improved, the abrasion of the storage cabinet in the operation process is reduced, and the operation life of the storage cabinet is prolonged; carry out operation monitoring to the storage cabinet in selecting the region, improved the sequence nature of storing the cabinet operation, prevent to store the cabinet operation and lead to storing efficiency reduction in a jumble.
2. According to the invention, the storage cabinet for sample checking is subjected to environmental analysis monitoring, and the influence of the storage cabinet environment on the coal sample is judged, so that the real-time state of the coal sample is judged; analyzing the coal samples in the sample checking and storing cabinet, and judging whether the coal samples are stored abnormally in the corresponding sample checking and storing cabinet, so that the state of the coal samples stored in the sample checking and storing cabinet in real time is judged, the qualification of the coal samples is improved, and the reduction of the use quality of the coal samples caused by the placement problem of the coal samples is prevented; the storage frequency of the coal samples is analyzed so as to judge the use quality of the corresponding coal samples, and meanwhile, whether the corresponding types of coal samples are suitable for storage can be judged, so that the coal samples with low use rate are prevented from being stored, and the storage pressure of the coal samples is increased.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is an overall schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the intelligent storage sample-searching feedback supervision system for coal samples comprises a coal storage sample-searching platform, wherein a storage operation supervision platform and an analysis feedback supervision platform are arranged in the coal storage sample-searching platform, a server is arranged in the storage operation supervision platform, and the server is in communication connection with an operation supervision unit, a storage cabinet positioning unit and a sample-searching unit; a processor is arranged in the analysis feedback supervision platform and is in communication connection with an environment monitoring unit, a sample analysis unit and a storage analysis unit;
store operation supervision platform and be used for supervising the operation that the cabinet was stored to the coal sample, the server generates stores cabinet positioning signal and will store cabinet positioning signal and send to storing cabinet positioning unit, it is used for setting up the position to the storage cabinet of coal sample and confirms to store cabinet positioning unit, the position that prevents to store the cabinet has the unusual coal sample to store unusually, reduce the quality of use of coal sample, can improve the operating efficiency who stores the cabinet simultaneously, the wearing and tearing of storing the cabinet operation in-process have been reduced, thereby improve the running life who stores the cabinet, concrete positioning process is as follows:
collecting a coal sample transportation point, marking a region around the coal sample transportation point as a storage region, and dividing the storage region into i storage subregions, wherein i is a natural number more than 1;
acquiring the all-day sunlight irradiation duration, the terrain height of the corresponding area and the air circulation speed of the corresponding area in each storage sub-area, and respectively marking the all-day sunlight irradiation duration, the terrain height of the corresponding area and the air circulation speed of the corresponding area in each storage sub-area as SCi, GDi and SDi; by the formula
Obtaining analysis positioning coefficients Xi of all storage sub-regions, wherein a1, a2 and a3 are all preset proportionality coefficients, a1 is larger than a2 and larger than a3 and larger than 0, and beta is an error correction factor and takes the value of 1.32; the analysis positioning coefficient of the storage sub-region is a probability numerical value for judging the storage sub-region as a storage cabinet placing region by carrying out normalization processing on the parameters of the storage sub-region; according to a formula, the larger the sunlight irradiation time and the air circulation speed of the corresponding area are, the smaller the terrain height of the corresponding area is, the larger the analysis positioning coefficient of the storage subarea is, and the smaller the probability that the storage subarea is used as a storage cabinet placing area is;
comparing the analysis localization coefficients of the storage sub-regions with an analysis localization coefficient threshold:
if the analysis positioning coefficient of the storage sub-region is larger than or equal to the analysis positioning coefficient threshold value, judging that the corresponding storage sub-region is not suitable for being used as a storage cabinet placing region, marking the corresponding storage sub-region as an unselected region, and sending the unselected region to a server;
if the analysis positioning coefficient of the storage sub-region is smaller than the analysis positioning coefficient threshold value, judging that the corresponding storage sub-region is suitable to be used as a storage cabinet placing region, marking the corresponding storage sub-region as a selected region, and simultaneously sending the selected region to a server;
the server receives and selects to generate the operation monitoring signal and with operation monitoring signal transmission to operation monitoring unit after regional back, and operation monitoring unit is used for carrying out operation monitoring to the storage cabinet that selects in the region, has improved the sequence nature of storing the cabinet operation, prevents to appear storing the cabinet operation and leads to storing efficiency reduction in a jumble, and concrete monitoring process is as follows:
arranging a plurality of sub-storage cabinets in the storage cabinet in the selected area, numbering and sequencing the sub-storage cabinets, binding coal samples transported in real time at coal sample transportation points with the sub-storage cabinets with corresponding numbers, and marking the sub-storage cabinets with the corresponding numbers as operation storage cabinets when the coal samples are stored in the sub-storage cabinets with the corresponding numbers; otherwise, marking the sub-storage cabinets with the corresponding numbers as idle storage cabinets;
acquiring the running time of the running storage cabinet and the idle storage cabinet, and sending the running storage cabinet, the idle storage cabinet and the corresponding running time to a server for storage in real time, wherein the running time of the running storage cabinet in the application is represented as the interval time from the sample storage time of the running storage cabinet to the current system time, and the running time of the space storage cabinet is represented as the interval time from the sample taking time of the idle storage cabinet to the current system time;
the server receives a sample searching signal and a sample searching number sent by the mobile phone terminal of the manager and sends the sample searching signal and the sample searching number to a sample searching unit; the sample searching unit generates an analysis feedback instruction after receiving the sample searching signal and the sample searching number and sends the analysis feedback instruction to the analysis feedback supervision platform;
analysis feedback supervision platform is used for carrying out analysis monitoring to the coal sample that corresponds the appearance of looking into in the storage cabinet, and the treater generates environment monitoring signal and sends environment monitoring signal to environment monitoring unit, and environment monitoring unit is used for carrying out the environmental analysis monitoring to the storage cabinet of looking into the appearance, judges the influence of storing the cabinet environment to the coal sample to judge the real-time status of coal sample, concrete analysis monitoring process is as follows:
marking the storage cabinet for sample checking as a sample checking storage cabinet, setting a mark o, wherein o is a natural number greater than 1, acquiring a storage temperature threshold range and a storage humidity threshold range corresponding to the coal samples in the sample checking storage cabinet, respectively marking an upper limit value and a lower limit value of the storage temperature threshold range as WDomax and WDomin, and respectively marking the upper limit value and the lower limit value of the storage humidity threshold range as SDomax and SDomin;
setting monitoring time, acquiring a real-time temperature value and a real-time humidity value in the sample checking and storing cabinet within the monitoring time, and respectively marking the real-time temperature value and the real-time humidity value in the sample checking and storing cabinet within the monitoring time as SWo and SSo; by the formula
Obtaining an environmental analysis monitoring coefficient Do in a sample checking storage cabinet, wherein g1 and g2 are both preset proportionality coefficients, and g1 is greater than g2 is greater than 0; the environmental analysis monitoring coefficient in the sample searching storage cabinet is a probability value for judging that the environmental in the sample searching storage cabinet influences the coal sample by carrying out normalization processing on the parameters of the sample searching storage cabinet; the larger the difference value between the real-time temperature and the temperature threshold value is, the smaller the difference value between the real-time humidity and the humidity threshold value is, the larger the environmental analysis monitoring coefficient in the sample checking and storing cabinet is, the more unstable the environmental analysis monitoring coefficient in the sample checking and storing cabinet is, namely when the temperature difference value and the humidity difference value both belong to the normal corresponding threshold value range, the environmental analysis monitoring coefficient value is in the normal coefficient threshold value range, in the application, if the temperature difference value is too large or the humidity difference value is too small, the environmental analysis monitoring coefficient is not in the normal coefficient threshold value range, and the larger the probability that the environment affects the coal sample is judged;
comparing the environmental analysis monitoring coefficient in the sample-checking storage cabinet with the threshold range of the environmental analysis monitoring coefficient:
if the environmental analysis monitoring coefficient in the sample searching storage cabinet is within the threshold range of the environmental analysis monitoring coefficient, judging that the environment of the corresponding sample searching storage cabinet is qualified, generating an environmental non-influence signal and sending the environmental non-influence signal and the corresponding sample searching storage cabinet to the processor;
if the environmental analysis monitoring coefficient in the sample searching storage cabinet is not within the threshold range of the environmental analysis monitoring coefficient, judging that the environment of the corresponding sample searching storage cabinet is unqualified, generating an environmental influence signal, sending the environmental influence signal and the corresponding sample searching storage cabinet to a processor, and sending the environmental influence signal and the corresponding sample searching storage cabinet to a sample searching unit after the processor receives the environmental influence signal; after receiving the environmental influence signal, the sample searching unit performs environmental rectification on the corresponding sample searching storage cabinet;
the processor receives the environmental non-influence signal and then generates a sample analysis signal and sends the sample analysis signal to the sample analysis unit, the sample analysis unit is used for analyzing the coal samples in the sample searching storage cabinet and judging whether the coal samples are stored abnormally in the corresponding sample searching storage cabinet, so that the state of the coal samples stored in the sample searching storage cabinet in real time is judged, the qualification of the coal samples is improved, the reduction of the use quality of the coal samples caused by the placement problem of the coal samples is prevented, and the specific analysis process is as follows:
collecting the stacking angle of the coal samples in the sample checking and storing cabinet and the top levelness of the stacked coal samples, and comparing the stacking angle of the coal samples in the sample checking and storing cabinet and the top levelness of the stacked coal samples with an angle threshold range and a levelness threshold range respectively:
if any numerical value of the stacking angle of the coal samples in the sample searching storage cabinet and the levelness of the top of the stacked coal samples is not within the corresponding threshold range, judging that the storage efficiency in the corresponding sample searching storage cabinet is abnormal, generating a storage abnormal signal, sending the storage abnormal signal and the serial number of the corresponding sample searching storage cabinet to a processor, and sending the serial number of the corresponding sample searching storage cabinet and the storage abnormal signal to a sample searching unit after the processor receives the storage abnormal signal; the sample searching unit receives the serial number and the storage abnormal signal of the corresponding sample searching storage cabinet and stores the corresponding sample searching storage cabinet again;
if the stacking angle of the coal samples in the sample checking storage cabinet and the levelness of the tops of the stacked coal samples are both in the corresponding threshold range, judging that the storage efficiency in the corresponding sample checking storage cabinet is normal, generating a normal storage signal, and sending the normal storage signal and the numbers of the corresponding sample checking storage cabinets to the processor;
the treater is received and is deposited after the normal signal, generate storage analysis signal and with storage analysis signal transmission to storage analysis unit, storage analysis unit is used for looking into the depositing of coal sample in the appearance storage cabinet and analyzing, thereby the frequency of depositing of analysis coal sample judges the quality of use of corresponding coal sample, can judge simultaneously whether the coal sample of corresponding kind is fit for storing, prevent to store the coal sample that the rate of utilization is low, increase the storage pressure of coal sample, concrete analytic process is as follows:
acquiring the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the storage frequency and the taking frequency of the coal samples corresponding to the sample searching storage cabinet, and comparing the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the storage frequency and the taking frequency of the coal samples corresponding to the sample searching storage cabinet with an area ratio threshold and a frequency threshold respectively:
if any value of the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the coal sample storage frequency corresponding to the sample searching storage cabinet to the extraction frequency is smaller than the corresponding threshold value, judging that the storage efficiency of the sample searching storage cabinet is unqualified, generating a storage efficiency unqualified signal and sending the storage efficiency unqualified signal to a sample searching unit;
if the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the corresponding coal sample storage frequency of the sample searching storage cabinet to the corresponding coal sample taking frequency are both larger than the corresponding threshold values, judging that the storage efficiency of the sample searching storage cabinet is qualified, generating a storage efficiency qualified signal and sending the storage efficiency qualified signal and the corresponding sample searching storage cabinet to a sample searching unit;
and after receiving the signal of unqualified storage efficiency, the sample checking unit stores the coal samples in the corresponding sample checking storage cabinet for rectification.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the coal sample storage cabinet is used, the storage operation supervision platform is used for supervising the operation of the coal sample storage cabinet, and the storage cabinet positioning unit is used for determining the storage cabinet setting position of the coal sample; monitoring the operation of the storage cabinets in the selected area through an operation monitoring unit; the server receives the sample searching signal and the sample searching number sent by the mobile phone terminal of the manager and sends the sample searching signal and the sample searching number to the sample searching unit; the sample searching unit generates an analysis feedback instruction after receiving the sample searching signal and the sample searching number and sends the analysis feedback instruction to the analysis feedback supervision platform; the analysis feedback supervision platform is used for analyzing and monitoring coal samples corresponding to sample checking in the storage cabinet, the processor generates an environment monitoring signal and sends the environment monitoring signal to the environment monitoring unit, and the environment analysis and monitoring are carried out on the storage cabinet for sample checking through the environment monitoring unit; analyzing the coal sample in the sample searching and storing cabinet through a sample analyzing unit; and the storage of the coal samples in the sample checking and storing cabinet is analyzed through the storage analysis unit.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. The intelligent storage sample-searching feedback supervision system for the coal samples is characterized by comprising a coal storage sample-searching platform, wherein a storage operation supervision platform and an analysis feedback supervision platform are arranged in the coal storage sample-searching platform; a processor is arranged in the analysis feedback supervision platform and is in communication connection with an environment monitoring unit, a sample analysis unit and a storage analysis unit;
the storage operation supervision platform is used for supervising the operation of the coal sample storage cabinet, and the server generates a storage cabinet positioning signal and sends the storage cabinet positioning signal to the storage cabinet positioning unit; determining the setting position of a storage cabinet of the coal sample through a storage cabinet positioning unit; the selected area is screened out and sent to the server, the server generates an operation monitoring signal after receiving the selected area and sends the operation monitoring signal to the operation monitoring unit, and the operation monitoring unit monitors the operation of the storage cabinet in the selected area;
the server receives the sample searching signal and the sample searching number sent by the mobile phone terminal of the manager and sends the sample searching signal and the sample searching number to the sample searching unit; the sample searching unit generates an analysis feedback instruction after receiving the sample searching signal and the sample searching number and sends the analysis feedback instruction to the analysis feedback supervision platform; the analysis feedback supervision platform is used for analyzing and monitoring coal samples corresponding to sample checking in the storage cabinet, the processor generates an environment monitoring signal and sends the environment monitoring signal to the environment monitoring unit, and the environment analysis and monitoring are carried out on the storage cabinet for sample checking through the environment monitoring unit; analyzing the coal sample in the sample checking and storing cabinet through a sample analyzing unit; the storage of the coal samples in the sample checking and storing cabinet is analyzed through a storage analysis unit;
the positioning process of the storage cabinet positioning unit is as follows:
collecting a coal sample transportation point, marking a region around the coal sample transportation point as a storage region, and dividing the storage region into i storage sub-regions, wherein i is a natural number greater than 1;
collecting the all-day sunlight irradiation duration, the terrain height of the corresponding area and the air circulation speed of the corresponding area in each storage sub-area, and collecting the all-day sunlight irradiation duration and the terrain height of the corresponding area in each storage sub-areaAnd the air circulation speeds of the corresponding zones are marked as SCi, GDi and SDi respectively; by the formula
Obtaining analysis positioning coefficients Xi of each storage sub-region, wherein a1, a2 and a3 are all preset proportional coefficients, a1 is larger than a2 is larger than a3 is larger than 0, and beta is an error correction factor and is 1.32;
comparing the analysis localization coefficients of the storage sub-regions with an analysis localization coefficient threshold:
if the analysis positioning coefficient of the storage sub-region is larger than or equal to the analysis positioning coefficient threshold, judging that the corresponding storage sub-region is not suitable for being used as a storage cabinet placing region, marking the corresponding storage sub-region as an unselected region, and sending the unselected region to a server; if the analysis positioning coefficient of the storage sub-region is smaller than the analysis positioning coefficient threshold value, judging that the corresponding storage sub-region is suitable for being used as a storage cabinet placing region, marking the corresponding storage sub-region as a selected region, and sending the selected region to a server;
the analysis process of the warehouse analysis unit is as follows:
acquiring the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the storage frequency and the taking frequency of the coal samples corresponding to the sample searching storage cabinet, and comparing the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the storage frequency and the taking frequency of the coal samples corresponding to the sample searching storage cabinet with an area ratio threshold and a frequency threshold respectively:
if any numerical value of the ratio of the occupied area of the coal sample stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the coal sample storage frequency corresponding to the sample searching storage cabinet to the extraction frequency is smaller than the corresponding threshold value, judging that the storage efficiency of the sample searching storage cabinet is unqualified, generating a signal with unqualified storage efficiency and sending the signal with unqualified storage efficiency to a sample searching unit;
if the ratio of the occupied area of the coal samples stored in the sample searching storage cabinet to the area in the sample searching storage cabinet and the ratio of the corresponding coal sample storage frequency and the corresponding coal sample taking frequency of the sample searching storage cabinet are both larger than the corresponding threshold values, the storage efficiency of the sample searching storage cabinet is judged to be qualified, a storage efficiency qualified signal is generated, and the storage efficiency qualified signal and the corresponding sample searching storage cabinet are sent to a sample searching unit.
2. The intelligent storage and sample-searching feedback supervision system for the coal samples according to claim 1, characterized in that the specific monitoring process of the operation monitoring unit is as follows:
arranging a plurality of sub-storage cabinets in the storage cabinet in the selected area, numbering and sequencing the sub-storage cabinets, binding the coal samples transported in real time at the coal sample transportation point with the sub-storage cabinets with the corresponding numbers, and marking the sub-storage cabinets with the corresponding numbers as operation storage cabinets when the coal samples are stored in the sub-storage cabinets with the corresponding numbers; otherwise, marking the sub-storage cabinets with the corresponding numbers as idle storage cabinets; the running time of the running storage cabinet and the idle storage cabinet is collected, and the running storage cabinet, the idle storage cabinet and the corresponding running time are sent to the server to be stored in real time.
3. The intelligent storage and sample-searching feedback supervision system for the coal samples according to claim 1, characterized in that the analysis and monitoring process of the environment monitoring unit is as follows:
marking the storage cabinet for sample checking as a sample checking storage cabinet, setting a mark o, wherein o is a natural number greater than 1, acquiring a storage temperature threshold range and a storage humidity threshold range corresponding to the coal samples in the sample checking storage cabinet, respectively marking an upper limit value and a lower limit value of the storage temperature threshold range as WDomax and WDomin, and respectively marking the upper limit value and the lower limit value of the storage humidity threshold range as SDomax and SDomin;
setting monitoring time, acquiring a real-time temperature value and a real-time humidity value in the sample checking and storing cabinet within the monitoring time, and respectively marking the real-time temperature value and the real-time humidity value in the sample checking and storing cabinet within the monitoring time as SWo and SSo; obtaining an environmental analysis monitoring coefficient Do in a sample checking storage cabinet through analysis;
comparing the environmental analysis monitoring coefficient in the sample checking storage cabinet with the threshold range of the environmental analysis monitoring coefficient:
if the environment analysis monitoring coefficient in the sample searching storage cabinet is within the threshold range of the environment analysis monitoring coefficient, judging that the environment of the corresponding sample searching storage cabinet is qualified, generating an environment non-influence signal and sending the environment non-influence signal and the corresponding sample searching storage cabinet to the processor together;
if the environmental analysis monitoring coefficient in the sample searching storage cabinet is not within the threshold range of the environmental analysis monitoring coefficient, judging that the environment of the corresponding sample searching storage cabinet is unqualified, generating an environmental influence signal, sending the environmental influence signal and the corresponding sample searching storage cabinet to a processor, and sending the environmental influence signal and the corresponding sample searching storage cabinet to a sample searching unit after the processor receives the environmental influence signal; and the sample searching unit receives the environmental influence signal and then performs environmental rectification on the corresponding sample searching storage cabinet.
4. The intelligent storage and sample-searching feedback supervision system for coal samples according to claim 1, characterized in that the analysis process of the sample analysis unit is as follows:
collecting the stacking angle of the coal samples in the sample checking storage cabinet and the top levelness of the stacked coal samples, and comparing the stacking angle of the coal samples in the sample checking storage cabinet and the top levelness of the stacked coal samples with an angle threshold range and a levelness threshold range respectively:
if any numerical value of the stacking angle of the coal samples in the sample searching storage cabinet and the levelness of the top of the stacked coal samples is not within the corresponding threshold range, judging that the storage efficiency in the corresponding sample searching storage cabinet is abnormal, generating a storage abnormal signal, sending the storage abnormal signal and the serial number of the corresponding sample searching storage cabinet to a processor, and sending the serial number of the corresponding sample searching storage cabinet and the storage abnormal signal to a sample searching unit after the processor receives the storage abnormal signal; the sample searching unit receives the serial number and the storage abnormal signal of the corresponding sample searching storage cabinet and stores the corresponding sample searching storage cabinet again;
if the stacking angle of the coal samples in the sample checking storage cabinet and the levelness of the top of the stacked coal samples are both in the corresponding threshold range, judging that the storage efficiency in the corresponding sample checking storage cabinet is normal, generating a storage normal signal, and sending the storage normal signal and the corresponding sample checking storage cabinet number to the processor.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204822866U (en) * | 2015-06-10 | 2015-12-02 | 东北石油大学 | Categorised access arrangement of special sample of resource investigation |
| CN106774562A (en) * | 2017-01-06 | 2017-05-31 | 浙江工业大学 | A kind of hazardous chemical storage cabinet |
| CN208384658U (en) * | 2018-05-23 | 2019-01-15 | 扬州大学 | A kind of digital intelligent medical cupboard based on Internet of Things |
| EP3640875A1 (en) * | 2018-10-18 | 2020-04-22 | B.M.D. S.p.A. | A collection, management, traceability and analysis system of specimens and of corresponding specific data |
| CN211997028U (en) * | 2020-03-30 | 2020-11-24 | 兰州交通大学工程检测有限公司 | Sample storage device that stays of multiclass sample |
| AU2020103340A4 (en) * | 2020-11-10 | 2021-01-21 | Guizhou Provincial Center For Disease Control And Prevention | A Physical and Chemical Data Analysis System for Food Safety Risk Monitoring |
| CN112598339A (en) * | 2021-03-03 | 2021-04-02 | 英飞智信(北京)科技有限公司 | Coal digital detection and inspection system |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4128339B2 (en) * | 2001-03-05 | 2008-07-30 | 株式会社日立製作所 | Process monitor for sample processing apparatus and method for manufacturing sample |
| KR100708234B1 (en) * | 2006-09-22 | 2007-04-16 | (주)제이브이엠 | Medicine storage cabinet |
| EP1916492A1 (en) * | 2006-10-25 | 2008-04-30 | Air Liquide Sanità Service S.p.A. | Control system for a cryopreservation facility |
| EP2927625A1 (en) * | 2014-03-31 | 2015-10-07 | Roche Diagniostics GmbH | Sample distribution system and laboratory automation system |
-
2021
- 2021-10-18 CN CN202111209184.9A patent/CN113934967B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204822866U (en) * | 2015-06-10 | 2015-12-02 | 东北石油大学 | Categorised access arrangement of special sample of resource investigation |
| CN106774562A (en) * | 2017-01-06 | 2017-05-31 | 浙江工业大学 | A kind of hazardous chemical storage cabinet |
| CN208384658U (en) * | 2018-05-23 | 2019-01-15 | 扬州大学 | A kind of digital intelligent medical cupboard based on Internet of Things |
| EP3640875A1 (en) * | 2018-10-18 | 2020-04-22 | B.M.D. S.p.A. | A collection, management, traceability and analysis system of specimens and of corresponding specific data |
| CN211997028U (en) * | 2020-03-30 | 2020-11-24 | 兰州交通大学工程检测有限公司 | Sample storage device that stays of multiclass sample |
| AU2020103340A4 (en) * | 2020-11-10 | 2021-01-21 | Guizhou Provincial Center For Disease Control And Prevention | A Physical and Chemical Data Analysis System for Food Safety Risk Monitoring |
| CN112598339A (en) * | 2021-03-03 | 2021-04-02 | 英飞智信(北京)科技有限公司 | Coal digital detection and inspection system |
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