Coal-fired intelligent unmanned factory collection and production acceptance method, device and system

Abstract

The invention discloses an intelligent unmanned factory collection and acceptance method, device and system for fire coal, and relates to the field of data processing. At least two sampling point positions of a fire coal pile are obtained; sending the at least two sampling point positions to a sampling end, so that the sampling end samples the coal-fired pile based on the at least two sampling point positions to obtain a sample; sending a first control instruction for performing sample preparation on the sampling product to a sample preparation end, so that the sample preparation end performs sample preparation on the sampling product based on the first control instruction to obtain a prepared sample; and sending a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a testing result, and uploading the testing result to the control end. Compared with the prior art, the embodiment of the invention has the advantages that manual operation is not needed, the collected data deviation and distortion are reduced, and the expenditure cost of enterprises on fire coal is further reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing, and in particular to a method, device and system for coal mining and acceptance in an intelligent unmanned factory. Background Art

[0002] Coal is the main fuel production resource of thermal power plants, and the purchase cost of coal accounts for 70%-80% of the production cost of the entire coal-fired thermal power enterprise. Therefore, coal supervision work is bound to receive high attention from all relevant parties, mainly involving procurement, transportation, measurement, loading and unloading, mining and processing, etc. Among them, the key issue is the mining and processing link.

[0003] In the relevant technologies of coal mining, processing and acceptance in intelligent unmanned factories, mining and processing management is usually carried out manually, which is prone to data deviation and distortion, resulting in excessively high prices or poor quality of purchased coal, leading to higher expenditure costs for enterprises on coal. Summary of the invention

[0004] The present invention provides a method, device and system for intelligent unmanned coal mining and acceptance inspection, the main purpose of which is to solve the problem of high coal expenditure costs for enterprises.

[0005] According to a first aspect of the present disclosure, a method for coal-fired intelligent unmanned factory mining and acceptance is provided, wherein the method is applied to a control end and includes:

[0006] Obtain the locations of at least two sampling points of the coal pile;

[0007] Sending the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sample;

[0008] Sending a first control instruction for preparing the sample to a sample preparation end, so that the sample preparation end prepares the sample based on the first control instruction to obtain a prepared sample;

[0009] A second control instruction for testing the prepared sample is sent to the testing end, so that the testing end tests the prepared sample based on the second control instruction, obtains the test result, and uploads the test result to the control end.

[0010] Optionally, obtaining the locations of at least two sampling points of the coal pile includes:

[0011] Acquiring a three-dimensional profile of the coal pile;

[0012] At least two sampling point positions are randomly selected in the three-dimensional contour to obtain the at least two sampling point positions.

[0013] According to a second aspect of the present disclosure, a method for coal-fired intelligent unmanned factory sampling and acceptance is provided, wherein the method is applied to a sampling end and includes:

[0014] Receive at least two sampling point locations of the coal pile sent by the control end, and obtain the sampling depth;

[0015] Sampling the coal pile according to the positions of the at least two sampling points and the sampling depth to obtain a sample;

[0016] The sample is transported to a sample preparation end so that the sample preparation end prepares the sample.

[0017] According to a third aspect of the present disclosure, a method for sampling and acceptance of coal in an intelligent unmanned factory is provided, wherein the method is applied to a sample preparation end and comprises:

[0018] Receive the sample transported by the sampling end, and receive a first control instruction for preparing the sample sent by the control end; the first control instruction includes the mixed sample ratio of the coal at different sampling points in the sample, and the sample is a sample obtained by the sampling end from sampling at least two sampling points of the coal pile;

[0019] Mixing the samples according to the mixing ratio to obtain a sample preparation;

[0020] The prepared sample is transported to an assay end so that the assay end assays the prepared sample.

[0021] According to a fourth aspect of the present disclosure, a method for coal mining and processing acceptance in an intelligent unmanned factory is provided, wherein the method is applied to a testing end and includes:

[0022] receiving a sample transported by a sample preparation end, and receiving a second control instruction sent by a control end to test the sample; the second control instruction includes an execution method for testing the sample, the sample being a sample obtained by the sample preparation end from preparing a sampled product, and the sampled product being a sample obtained by the sampling end from sampling at least two sampling points of a coal pile;

[0023] According to the execution mode, the prepared sample is tested to obtain the test result;

[0024] The test results are uploaded to the control terminal.

[0025] According to a fifth aspect of the present disclosure, a coal-fired intelligent unmanned factory collection and acceptance device is provided, and the device is applied to a control end, comprising:

[0026] An acquisition unit, used for acquiring positions of at least two sampling points of the coal pile;

[0027] A sending unit, used for sending the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sample;

[0028] The sending unit is further used to send a first control instruction for preparing the sample to the sample preparation end, so that the sample preparation end prepares the sample based on the first control instruction to obtain a prepared sample;

[0029] The sending unit is used to send a second control instruction for testing the prepared sample to the testing end, so that the testing end tests the prepared sample based on the second control instruction, obtains the test result, and uploads the test result to the control end.

[0030] Optionally, the acquiring unit includes:

[0031] An acquisition module, used for acquiring a three-dimensional profile of the coal pile;

[0032] The selection module is used to randomly select at least two sampling point positions in the three-dimensional contour to obtain the at least two sampling point positions.

[0033] According to a sixth aspect of the present disclosure, a coal-fired intelligent unmanned factory sampling and acceptance device is provided, and the device is applied to a sampling end, comprising:

[0034] A receiving unit, used for receiving the positions of at least two sampling points of the coal pile sent by the control end, and obtaining the sampling depth;

[0035] A sampling unit, used to sample the coal pile according to the positions of the at least two sampling points and the sampling depth to obtain a sample;

[0036] The transport unit is used to transport the sample to the sample preparation end so that the sample preparation end can prepare the sample.

[0037] According to a seventh aspect of the present disclosure, a coal-fired intelligent unmanned factory sampling and acceptance device is provided, and the device is applied to a sample preparation end, comprising:

[0038] A receiving unit is used to receive the sample transported by the sampling end, and receive a first control instruction sent by the control end to prepare the sample of the sample; the first control instruction includes a mixed sample ratio of coal at different sampling points in the sample, and the sample is a sample obtained by the sampling end from sampling at least two sampling points of the coal pile;

[0039] A sample mixing unit, used for mixing the samples according to the sample mixing ratio to obtain a sample preparation;

[0040] The transport unit is used to transport the prepared sample to the testing end so that the testing end can test the prepared sample.

[0041] According to an eighth aspect of the present disclosure, a coal-fired intelligent unmanned factory collection and processing acceptance device is provided, and the device is applied to a testing end, comprising:

[0042] A receiving unit is used to receive a sample transported by a sample preparation end, and receive a second control instruction sent by a control end to test the sample; the second control instruction includes an execution method for testing the sample, the sample is a sample obtained by the sample preparation end from preparing a sampled product, and the sampled product is a sample obtained by the sampling end from sampling at least two sampling points of a coal pile;

[0043] An assay unit, used to assay the prepared sample according to the execution mode to obtain an assay result;

[0044] The uploading unit is used to upload the test result to the control terminal.

[0045] According to a ninth aspect of the present disclosure, a coal-fired intelligent unmanned factory sampling, preparation, and acceptance system is provided, the system comprising a control end, a sampling end, a sample preparation end, and a test end, including:

[0046] The control end includes the intelligent unmanned factory coal mining and acceptance device as described in the fifth aspect of the present disclosure;

[0047] The sampling end includes the intelligent unmanned factory sampling and acceptance device for coal combustion as described in the sixth aspect of the present disclosure;

[0048] The sample preparation end includes the intelligent unmanned factory sampling and acceptance device for coal combustion as described in the seventh aspect of the present disclosure;

[0049] The testing end includes the intelligent unmanned factory coal mining and acceptance device as described in the eighth aspect of the present disclosure.

[0050] According to a tenth aspect of the present disclosure, there is provided an electronic device, including:

[0051] at least one processor; and

[0052] a memory communicatively connected to the at least one processor; wherein,

[0053] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method described in the first aspect, the method described in the second aspect, the method described in the third aspect, or the method described in the fourth aspect.

[0054] According to the eleventh aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect, the method described in the second aspect, the method described in the third aspect, or the method described in the fourth aspect.

[0055] According to the twelfth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the method described in the first aspect, the second aspect, the third aspect, or the fourth aspect is implemented.

[0056] The present invention provides an intelligent unmanned coal factory sampling, processing and acceptance method, device and system, which obtain at least two sampling point positions of a coal pile; send the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sampled product; send a first control instruction for preparing the sampled product to a sample preparation end, so that the sample preparation end prepares the sampled product based on the first control instruction to obtain a prepared sample; send a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a test result, and uploads the test result to the control end. Compared with the related art, the embodiment of the present disclosure randomly generates at least two sampling point positions of the coal pile through the control end, and uses the controlled sampling end to take samples at the at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing the data deviation and distortion of sampling and preparation, and thus reducing the enterprise's expenditure cost on coal.

[0057] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0059] Figure 1A schematic diagram of a process flow of a coal-fired intelligent unmanned factory mining and acceptance method provided by an embodiment of the present disclosure;

[0060] Figure 2 A flow chart of another method for coal-fired intelligent unmanned factory mining and acceptance provided by an embodiment of the present disclosure;

[0061] Figure 3 A flow chart of another method for coal-fired intelligent unmanned factory mining and acceptance provided by an embodiment of the present disclosure;

[0062] Figure 4 A flow chart of another method for coal-fired intelligent unmanned factory mining and acceptance provided by an embodiment of the present disclosure;

[0063] Figure 5 A schematic diagram of the structure of a coal-fired intelligent unmanned factory collection and acceptance device provided in an embodiment of the present disclosure;

[0064] Figure 6 A schematic diagram of the structure of another intelligent unmanned coal-fired factory collection and acceptance device provided in an embodiment of the present disclosure;

[0065] Figure 7 A schematic diagram of the structure of another intelligent unmanned coal-fired factory collection and acceptance device provided in an embodiment of the present disclosure;

[0066] Figure 8 A schematic diagram of the structure of another intelligent unmanned coal-fired factory collection and acceptance device provided in an embodiment of the present disclosure;

[0067] Fig. 9 A schematic diagram of the structure of another intelligent unmanned coal-fired factory collection and acceptance device provided in an embodiment of the present disclosure;

[0068] Fig.10 An intelligent unmanned coal-fired factory collection and acceptance system provided in an embodiment of the present disclosure;

[0069] Fig.11 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0070] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0071] The following describes the coal mining and acceptance method, device and system for an intelligent unmanned factory in accordance with an embodiment of the present disclosure with reference to the accompanying drawings.

[0072] Figure 1 A flow chart of a method for coal mining and acceptance in an intelligent unmanned factory provided in an embodiment of the present disclosure.

[0073] like Figure 1 As shown, the method is applied in a controller, and the method comprises the following steps:

[0074] Step 101, obtaining the locations of at least two sampling points of the coal pile.

[0075] Coal collection and processing refers to the process of sampling, sample preparation and testing of coal to determine the quality and price of coal. Sampling refers to randomly extracting a certain amount of coal samples (samples) from the coal pile to represent the quality of the entire coal pile. Sample preparation refers to crushing, screening, mixing and other processing of the collected coal samples to achieve the particle size and uniformity required for testing. Testing refers to the chemical composition analysis of the prepared coal samples, such as determining the calorific value, ash content, volatile matter, sulfur content and other indicators of coal to evaluate the quality of coal. Based on the test results, the quality of coal is evaluated and the price of coal is determined. Coal collection and processing is an important part of coal supervision, and its accuracy and reliability directly affect the cost and quality of coal procurement.

[0076] The control end is the core control unit of the entire coal-fired intelligent unmanned factory sampling and acceptance system, responsible for coordinating the work of each link, sending instructions and receiving feedback. It controls the operation of each link such as sampling, sample preparation, and testing through instructions and data streams, and monitors and manages the entire process. The sampling point location refers to the specific location on the coal pile for collecting coal samples. In order to prevent the selection of the sampling point location from being subject to human intervention, the sampling point location is obtained by randomly selecting the sampling point location from the coal pile through the control end.

[0077] Coal piles may have different coal qualities in different areas, and a single sampling point may not fully reflect the average quality of the coal pile. By selecting multiple sampling points, the overall characteristics of the coal pile can be more fully captured, thereby improving the representativeness of the sample.

[0078] Step 102: sending the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sample.

[0079] The sampling end refers to the machine equipment responsible for performing the sampling operation. The sampling end automatically collects samples from the coal pile according to the sampling point location information sent by the control end. The sample is a coal sample extracted from the coal pile according to the predetermined sampling point location. These samples represent the overall characteristics of the coal in the coal pile and will be further processed and tested.

[0080] The purpose of selecting at least two sampling points and sending them to the sampling end is to ensure that the samples can accurately reflect the overall coal quality characteristics of the coal pile through more comprehensive and uniform sampling, and provide a reliable basis for subsequent sample preparation and testing.

[0081] Step 103: sending a first control instruction for preparing the sample to a sample preparation end, so that the sample preparation end prepares the sample based on the first control instruction to obtain a prepared sample.

[0082] The sample preparation end refers to the equipment for preparing and processing the sample. According to the first control instruction sent by the control end, the sample preparation end performs crushing, screening, mixing and other processing on the sample to prepare a sample suitable for testing. The first control instruction is an instruction sent by the control end to the sample preparation end to instruct the sample preparation end on how to process the sample. For example, these instructions may include control parameters such as sample preparation steps, time, temperature, etc. to ensure that the sample preparation process is standardized. The sample is the sample processed by the sample preparation end according to the first control instruction of the control end.

[0083] By sending the first control instruction, the control end can ensure that the sample preparation end operates according to the predetermined procedures and methods, thereby reducing human errors and improving the standardization and automation level of the sample preparation process. This helps to ensure that the particle size and uniformity of the prepared samples meet the test requirements, thereby ensuring the accuracy and reliability of the test results. Accurate test results are an important basis for evaluating coal quality, determining purchase prices, and optimizing power plant operations.

[0084] Step 104, sending a second control instruction for testing the prepared sample to the testing end, so that the testing end tests the prepared sample based on the second control instruction, obtains the test result, and uploads the test result to the control end.

[0085] The test end refers to the equipment for analyzing the chemical and physical properties of coal samples. The test end tests the prepared samples according to the second control instruction issued by the control end, which usually includes the detection of parameters such as the calorific value, moisture content, ash content, and sulfur content of the coal. The second control instruction is an instruction sent by the control end to the test end to instruct the test end on how to analyze the prepared samples. These instructions may cover specific items, methods, requirements, etc. of the test. The test results are the data obtained by the test end after analyzing the prepared samples. These results may include various chemical components and physical properties of coal, such as calorific value, ash content, sulfur content, etc., and are eventually uploaded to the control end for further analysis and decision-making.

[0086] By sending the second control instruction, the control end can ensure that the test end operates according to the standardized test process, thereby improving the accuracy and consistency of the test. The test results will directly affect the pricing and purchasing decisions of coal, so ensuring the accuracy of the test results is of great significance for controlling coal costs and optimizing the operating efficiency of power plants.

[0087] The present invention provides a method for sampling, preparing and accepting coal in an intelligent unmanned factory, which obtains at least two sampling point positions of a coal pile; sends the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sampled product; sends a first control instruction for preparing the sampled product to a sample preparation end, so that the sample preparation end prepares the sampled product based on the first control instruction to obtain a prepared sample; sends a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a test result, and uploads the test result to the control end. Compared with the related art, the embodiment of the present disclosure randomly generates at least two sampling point positions of the coal pile through the control end, and uses the controlled sampling end to take samples at the at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing the data deviation and distortion of sampling and preparation, and thus reducing the enterprise's expenditure cost on coal.

[0088] As a refinement of step 101, when executing the acquisition of at least two sampling point positions of the coal pile, it can be implemented in the following manner but not limited to: acquiring the three-dimensional contour of the coal pile; randomly selecting at least two sampling point positions in the three-dimensional contour to obtain the at least two sampling point positions. By acquiring the three-dimensional contour of the coal pile, the overall shape and volume of the pile can be accurately understood. Randomly selecting sampling points can help evaluate the uniformity and quality of the piled coal, thereby ensuring that there are no undesirable phenomena such as uneven density and over-dense stacking in the coal pile, and avoiding the impact of local quality differences on subsequent combustion or production.

[0089] The above embodiment illustrates the intelligent unmanned factory coal sampling and acceptance method applied to the control end, and the subsequent embodiment illustrates the application to the sampling end. Figure 2 A flow chart of another method for coal-fired intelligent unmanned factory mining and acceptance provided in an embodiment of the present disclosure.

[0090] like Figure 2 As shown, the method is applied to the sampling end, and the method comprises the following steps:

[0091] Step 201, receiving at least two sampling point positions of the coal pile sent by the control end, and obtaining the sampling depth.

[0092] By receiving the locations of at least two sampling points, the coal pile can be sampled from different locations to avoid local deviations. Different parts of the coal pile may have different densities and uneven compositions. By selecting multiple sampling points, the overall situation of the coal pile can be better reflected and the sample can be representative. Obtaining the sampling depth can ensure that the sampling process is done from the appropriate depth to avoid distortion of the sample due to sampling too shallow or too deep. For example, the coal quality may be different at the surface and bottom of the coal pile. By controlling the sampling depth, the comprehensiveness of the sample can be ensured to reflect the overall coal quality of the coal pile.

[0093] By defining the sampling point location and sampling depth in advance, the sampling range can be precisely controlled, invalid or repeated sampling operations can be avoided, and the efficiency and accuracy of the sampling process can be improved. This is very important for subsequent analysis, sample preparation and quality control.

[0094] Step 202: sampling the coal pile according to the positions of the at least two sampling points and the sampling depth to obtain samples.

[0095] The sampling end controls the downward movement of the sampling rod. The sampling end uses closed-loop motion control of displacement digital instructions and encoder feedback, and force feedback control to measure the downward resistance to detect whether the sampling rod touches the bottom of the car or hard objects such as coal crucibles. When the sampling rod reaches the displacement instruction requirement but does not reach the downward resistance limit, the sampling end determines that the sampling is normal; when the sampling rod does not reach the displacement instruction requirement but has reached the downward resistance limit, the sampling end determines that the sampling touches a hard object, the sampling end issues an alarm, and re-takes a new sampling point.

[0096] By sampling at different sampling points and depths, it is ensured that the sampled products can more accurately reflect the quality and composition characteristics of the coal pile as a whole, which is very important for subsequent sample preparation, analysis and quality control.

[0097] Step 203: transport the sample to a sample preparation end so that the sample preparation end prepares the sample.

[0098] By transporting the sample to the sample preparation end, it can be ensured that the sample preparation process is carried out in a dedicated device, thereby improving the standardization and automation level of the sample preparation process. This helps to ensure that the particle size and uniformity of the sample preparation meet the test requirements, thereby ensuring the accuracy and reliability of the test results.

[0099] The present invention provides a method for sampling, preparing and accepting coal in an intelligent unmanned factory, which obtains at least two sampling point positions of a coal pile; sends the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sampled product; sends a first control instruction for preparing the sampled product to a sample preparation end, so that the sample preparation end prepares the sampled product based on the first control instruction to obtain a prepared sample; sends a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a test result, and uploads the test result to the control end. Compared with the related art, the embodiment of the present disclosure randomly generates at least two sampling point positions of the coal pile through the control end, and uses the controlled sampling end to take samples at the at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing the data deviation and distortion of sampling and preparation, and thus reducing the enterprise's expenditure cost on coal.

[0100] The above embodiments illustrate the intelligent unmanned factory coal collection and acceptance method applied to the control end, and the intelligent unmanned factory coal collection and acceptance method applied to the sampling end. The subsequent embodiments illustrate the intelligent unmanned factory coal collection and acceptance method applied to the sampling end. Figure 3 A flow chart of another method for coal-fired intelligent unmanned factory mining and acceptance provided in an embodiment of the present disclosure.

[0101] like Figure 3 As shown, the method is applied to the sample preparation end, and the method comprises the following steps:

[0102] Step 301, receiving the sample transported by the sampling end, and receiving the first control instruction for preparing the sample sent by the control end; the first control instruction includes the mixed sampling ratio of the coal at different sampling points in the sample, and the sample is a sample obtained by the sampling end from sampling at least two sampling points of the coal pile.

[0103] The mixing ratio refers to the ratio of coal samples from different sampling points mixed together in a certain proportion to prepare a sample.

[0104] In order to ensure the accuracy and consistency of the sample preparation process, the sample preparation instruction sent by the control end includes the mixing ratio of the coal at different sampling points. This is to take into account the difference in coal quality at each sampling point during the sample preparation process. By mixing coal samples from different sampling points in a specific ratio, a more representative sample can be obtained.

[0105] Step 302: Mix the samples according to the mixing ratio to obtain a prepared sample.

[0106] Exemplarily, weighted method 1: weighted mixed sampling according to weight proportion, which is the most representative of the complete batch; weighted method 2: weighted mixed sampling according to an arbitrary proportion; the steps of weighted mixed sampling are: taking the weight of the sample corresponding to the train with the maximum weight as the upper limit, and taking secondary samples from all train samples in proportion for mixing, to ensure that the weight (or volume) of the mixture is not less than the requirement for sample preparation; after the mixture is fully stirred, retain the mixture of the same weight (or volume); weigh the mixture and perform identity coding; in the case of similar coal quality within the batch, the mixed sampling of method 2 is not affected by weighting, and it should be equivalent to the mixed sampling of method 1; in the case of large differences in coal quality within the batch, method 2 should be used. 2. Mixed samples change with weighting, and there is a high probability that they will deviate from mixed samples in method 1. The greater the deviation in coal quality between mixed samples with different weights, the greater the fluctuation in coal quality between trains in the same batch. The deviation in coal quality in the same batch should be within a reasonable range (for example, 50 kcal). The quality of coal mined from the same coal mine and sent to different power plants on the same day should also be within the same reasonable range (for example). The quality of consecutive batches of coal delivered to the same coal mine should most likely show continuous changes within a reasonable deviation range. If the above-mentioned deviation is abnormal, the abnormal mixed samples deserve to be monitored closely. The sampling system uses mixed samples in method 1 by default, and randomly adds mixed samples in method 2. The remaining train samples after mixing are saved for review.

[0107] The purpose of mixing the samples according to the mixing ratio to obtain the prepared sample is to ensure that the prepared sample can represent the average quality of the entire coal pile and reduce the impact caused by the difference in coal quality at a single sampling point. Through mixing, coal samples from different sampling points can be mixed together in a specific ratio to obtain a more representative prepared sample.

[0108] Step 303: transport the prepared sample to an assay end so that the assay end assays the prepared sample.

[0109] By transporting the prepared samples to the testing end, it is possible to ensure that the testing process is carried out in specialized equipment, thereby improving the accuracy and consistency of the test. The testing end is usually equipped with advanced chemical analysis instruments and professional technicians to accurately analyze and measure the prepared samples.

[0110] The present invention provides a method for sampling, preparing and accepting coal in an intelligent unmanned factory, which obtains at least two sampling point positions of a coal pile; sends the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sampled product; sends a first control instruction for preparing the sampled product to a sample preparation end, so that the sample preparation end prepares the sampled product based on the first control instruction to obtain a prepared sample; sends a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a test result, and uploads the test result to the control end. Compared with the related art, the embodiment of the present disclosure randomly generates at least two sampling point positions of the coal pile through the control end, and uses the controlled sampling end to take samples at the at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing the data deviation and distortion of sampling and preparation, and thus reducing the enterprise's expenditure cost on coal.

[0111] The above embodiments illustrate the intelligent unmanned coal factory collection and acceptance method applied to the control end, the intelligent unmanned coal factory collection and acceptance method applied to the sampling end, and the intelligent unmanned coal factory collection and acceptance method applied to the sample preparation end. The subsequent embodiments illustrate the intelligent unmanned coal factory collection and acceptance method applied to the testing end. Figure 4 A flow chart of another method for coal-fired intelligent unmanned factory mining and acceptance provided in an embodiment of the present disclosure.

[0112] like Figure 4 As shown, the method is applied to the assay end, and the method comprises the following steps:

[0113] Step 401, receiving the prepared sample transported by the sample preparation end, and receiving the second control instruction sent by the control end to test the prepared sample; the second control instruction includes the execution method of testing the prepared sample, the prepared sample is the sample obtained by the sample preparation end on the sampled product, and the sampled product is the sample obtained by the sampling end on at least two sampling points of the coal pile.

[0114] The execution method refers to the specific methods, steps and technical means of implementing the test when testing the prepared samples. The execution method includes but is not limited to the specific methods of the test: such as which instruments, technologies or chemical reagents are used to analyze the samples. For example, it involves calorific value analysis, ash testing, sulfur testing, etc. of coal samples; the steps and processes of the test: including the sample preparation process, chemical reaction process, sample analysis process, etc. Control of time and conditions: for example, how long does it take to complete the analysis of the sample, and whether specific environmental conditions such as temperature and humidity are required.

[0115] By receiving instructions from the control end, the testing end can realize centralized management and monitoring of the testing process, facilitate real-time monitoring and trend analysis of the testing quality, help to timely discover potential problems and take corresponding measures, and ensure the stability and reliability of the testing process.

[0116] Step 402: According to the execution mode, the prepared sample is tested to obtain a test result.

[0117] The testing end realizes the testing process without human intervention through control, automatic measurement, online precise metering and other means, avoids the influence of human factors, and ensures the authenticity and accuracy of the test results. The specific effects are as follows: the measurement process is automated, and the test results are automatically uploaded and saved in an intelligent testing system; the measurement of coal calorific value / total sulfur / internal moisture / ash content / volatile matter / carbon, hydrogen and nitrogen content meets the national standards; during the measurement process, the sample retrieval information is input to obtain the test results of conventional test indicators of coal coke; the test results are transmitted to the fuel equipment management and control system in real time; the testing instrument realizes network operation management, and the test data is automatically collected and transmitted; the original test records and test reports are automatically generated, and the data is automatically uploaded.

[0118] By following the execution method, the testing end can ensure that the correct testing methods, equipment and processes are used for testing, reduce human errors, and improve the standardization and automation level of testing. This helps to ensure the accuracy and reliability of the test results and provide a scientific basis for subsequent coal quality assessment and procurement decisions.

[0119] Step 403, uploading the test results to the control terminal.

[0120] The purpose of uploading the test results to the control end is to realize the centralized management and analysis of data, so as to facilitate the real-time monitoring and trend analysis of coal quality. As the center of the entire sampling and processing management, the control end is responsible for coordinating and managing various links, including sampling, sample preparation, and testing.

[0121] The present invention provides a method for sampling, preparing and accepting coal in an intelligent unmanned factory, which obtains at least two sampling point positions of a coal pile; sends the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sampled product; sends a first control instruction for preparing the sampled product to a sample preparation end, so that the sample preparation end prepares the sampled product based on the first control instruction to obtain a prepared sample; sends a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a test result, and uploads the test result to the control end. Compared with the related art, the embodiment of the present disclosure randomly generates at least two sampling point positions of the coal pile through the control end, and uses the controlled sampling end to take samples at the at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing the data deviation and distortion of sampling and preparation, and thus reducing the enterprise's expenditure cost on coal.

[0122] In summary, the embodiments of the present disclosure can achieve the following effects:

[0123] The disclosed embodiment randomly generates at least two sampling point positions of a coal pile through a control end, and uses the controlled sampling end to perform sampling at at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing data deviation and distortion in sampling and preparation, and thereby reducing the enterprise's expenditure cost on coal.

[0124] Corresponding to the above-mentioned coal-fired intelligent unmanned factory collection and processing acceptance method, the present invention also proposes a coal-fired intelligent unmanned factory collection and processing acceptance device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, the details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be repeated in the present invention.

[0125] Figure 5 The present invention provides a schematic diagram of a coal-fired intelligent unmanned factory collection and acceptance device, which is applied to the control end, such as Figure 5 As shown, including:

[0126] An acquisition unit 51 is used to acquire the positions of at least two sampling points of the coal pile;

[0127] The sending unit 52 is used to send the at least two sampling point positions to the sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sample;

[0128] The sending unit 52 is further used to send a first control instruction for preparing the sample to the sample preparation end, so that the sample preparation end prepares the sample based on the first control instruction to obtain a prepared sample;

[0129] The sending unit 53 is used to send a second control instruction for testing the prepared sample to the testing end, so that the testing end tests the prepared sample based on the second control instruction, obtains the test result, and uploads the test result to the control end.

[0130] The intelligent unmanned factory sampling, processing and acceptance device for coal provided by the present disclosure obtains at least two sampling point positions of a coal pile; sends the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sampled product; sends a first control instruction for preparing the sampled product to a sample preparation end, so that the sample preparation end prepares the sampled product based on the first control instruction to obtain a prepared sample; sends a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a test result, and uploads the test result to the control end. Compared with the related art, the embodiment of the present disclosure randomly generates at least two sampling point positions of the coal pile through the control end, and uses the controlled sampling end to take samples at the at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing the data deviation and distortion of sampling and preparation, and thus reducing the enterprise's expenditure cost on coal.

[0131] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 6 As shown, the acquisition unit 51 includes:

[0132] An acquisition module 511 is used to acquire a three-dimensional profile of the coal pile;

[0133] The selection module 512 is configured to randomly select at least two sampling point positions in the three-dimensional contour to obtain the at least two sampling point positions.

[0134] Figure 7 This is a schematic diagram of the structure of another intelligent unmanned coal-fired factory sampling and acceptance device provided in an embodiment of the present disclosure. The device is applied to the sampling end, such as Figure 7 As shown, including:

[0135] The receiving unit 61 is used to receive the positions of at least two sampling points of the coal pile sent by the control end, and obtain the sampling depth;

[0136] A sampling unit 62, used to sample the coal pile according to the positions of the at least two sampling points and the sampling depth to obtain a sample;

[0137] The transport unit 63 is used to transport the sample to the sample preparation end so that the sample preparation end can prepare the sample.

[0138] The intelligent unmanned factory sampling, processing and acceptance device for coal provided by the present disclosure obtains at least two sampling point positions of a coal pile; sends the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sampled product; sends a first control instruction for preparing the sampled product to a sample preparation end, so that the sample preparation end prepares the sampled product based on the first control instruction to obtain a prepared sample; sends a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a test result, and uploads the test result to the control end. Compared with the related art, the embodiment of the present disclosure randomly generates at least two sampling point positions of the coal pile through the control end, and uses the controlled sampling end to take samples at the at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing the data deviation and distortion of sampling and preparation, and thus reducing the enterprise's expenditure cost on coal.

[0139] Figure 8 This is a schematic diagram of the structure of another intelligent unmanned coal-fired factory sampling and acceptance device provided in an embodiment of the present disclosure. The device is applied to the sample preparation end, such as Figure 8 As shown, including:

[0140] The receiving unit 71 is used to receive the sample transported by the sampling end, and receive the first control instruction for preparing the sample sent by the control end; the first control instruction includes the mixed sample ratio of the coal at different sampling points in the sample, and the sample is a sample obtained by the sampling end from sampling at least two sampling points of the coal pile;

[0141] A sample mixing unit 72, used for mixing the samples according to the sample mixing ratio to obtain a sample preparation;

[0142] The transport unit 73 is used to transport the prepared sample to the testing end so that the testing end can test the prepared sample.

[0143] The intelligent unmanned factory sampling, processing and acceptance device for coal provided by the present disclosure obtains at least two sampling point positions of a coal pile; sends the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sampled product; sends a first control instruction for preparing the sampled product to a sample preparation end, so that the sample preparation end prepares the sampled product based on the first control instruction to obtain a prepared sample; sends a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a test result, and uploads the test result to the control end. Compared with the related art, the embodiment of the present disclosure randomly generates at least two sampling point positions of the coal pile through the control end, and uses the controlled sampling end to take samples at the at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing the data deviation and distortion of sampling and preparation, and thus reducing the enterprise's expenditure cost on coal.

[0144] Fig. 9 This is a schematic diagram of the structure of another intelligent unmanned coal-fired factory collection and acceptance device provided in an embodiment of the present disclosure. The device is applied to the testing end, such as Fig. 9 As shown, including:

[0145] The receiving unit 81 is used to receive the prepared sample transported by the sample preparation end, and receive the second control instruction sent by the control end to test the prepared sample; the second control instruction includes the execution mode of testing the prepared sample, the prepared sample is the sample obtained by the sample preparation end from preparing the sampled product, and the sampled product is the sample obtained by the sampling end from sampling at least two sampling points of the coal pile;

[0146] An assay unit 82, configured to assay the prepared sample according to the execution mode to obtain an assay result;

[0147] The uploading unit 83 is used to upload the test result to the control end.

[0148] The intelligent unmanned factory sampling, processing and acceptance device for coal provided by the present disclosure obtains at least two sampling point positions of a coal pile; sends the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sampled product; sends a first control instruction for preparing the sampled product to a sample preparation end, so that the sample preparation end prepares the sampled product based on the first control instruction to obtain a prepared sample; sends a second control instruction for testing the prepared sample to a testing end, so that the testing end tests the prepared sample based on the second control instruction to obtain a test result, and uploads the test result to the control end. Compared with the related art, the embodiment of the present disclosure randomly generates at least two sampling point positions of the coal pile through the control end, and uses the controlled sampling end to take samples at the at least two sampling point positions to obtain sampled products, controls the sample preparation end to prepare samples of the sampled products to obtain prepared samples, controls the testing end to test the prepared samples to obtain test results, and the testing end uploads the test results to the control end without manual operation, thereby reducing the data deviation and distortion of sampling and preparation, and thus reducing the enterprise's expenditure cost on coal.

[0149] Fig.10 The present disclosure provides an intelligent unmanned coal-fired factory collection and acceptance system, such as Fig.10 As shown, including:

[0150] Control end 91, sampling end 92, sample preparation end 93 and assay end 94. Among them, control end 91 is a device configured at the control end, sampling end 92 is a device configured at the sampling end, sample preparation end 93 is a device configured at the sample preparation end, and assay end 94 is a device configured at the assay end.

[0151] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principle is the same, which is no longer limited in the embodiment of the present disclosure.

[0152] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0153] Fig.11A schematic block diagram of an example electronic device 1000 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0154] like Fig.11 As shown, the device 1000 includes a computing unit 1001, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 1002 or a computer program loaded from a storage unit 1008 to a RAM (Random Access Memory) 1003. In the RAM 1003, various programs and data required for the operation of the device 1000 can also be stored. The computing unit 1001, the ROM 1002, and the RAM 1003 are connected to each other via a bus 1004. An I / O (Input / Output) interface 1005 is also connected to the bus 1004.

[0155] A number of components in the device 1000 are connected to the I / O interface 1005, including: an input unit 1006, such as a keyboard, a mouse, etc.; an output unit 1007, such as various types of displays, speakers, etc.; a storage unit 1008, such as a disk, an optical disk, etc.; and a communication unit 1009, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 1009 allows the device 1000 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0156] The computing unit 1001 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 1001 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 1001 performs the various methods and processes described above, such as the intelligent unmanned coal-fired factory collection and acceptance method. For example, in some embodiments, the intelligent unmanned coal-fired factory collection and acceptance method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 1008. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 1000 via the ROM 1002 and / or the communication unit 1009. When the computer program is loaded into RAM 1003 and executed by the computing unit 1001, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 1001 may be configured to perform the aforementioned coal-fired intelligent unmanned factory mining and acceptance method in any other appropriate manner (e.g., by means of firmware).

[0157] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0158] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0159] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0160] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0161] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0162] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0163] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0164] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0165] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A coal-fired intelligent unmanned factory collection and acceptance method, characterized in that: The method is applied to a control terminal and includes: Obtain the locations of at least two sampling points of the coal pile; Sending the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sample; Sending a first control instruction for preparing the sample to a sample preparation end, so that the sample preparation end prepares the sample based on the first control instruction to obtain a prepared sample; A second control instruction for testing the prepared sample is sent to the testing end, so that the testing end tests the prepared sample based on the second control instruction, obtains the test result, and uploads the test result to the control end.

2. The method according to claim 1, characterized in that The obtaining of at least two sampling point positions of the coal pile comprises: Acquiring a three-dimensional profile of the coal pile; At least two sampling point positions are randomly selected in the three-dimensional contour to obtain the at least two sampling point positions.

3. A coal-fired intelligent unmanned factory mining and processing acceptance method, characterized in that: The method is applied to a sampling end and comprises: Receive at least two sampling point locations of the coal pile sent by the control end, and obtain the sampling depth; Sampling the coal pile according to the positions of the at least two sampling points and the sampling depth to obtain a sample; The sample is transported to a sample preparation end so that the sample preparation end prepares the sample.

4. A coal-fired intelligent unmanned factory collection and processing acceptance method, characterized in that: The method is applied to the sample preparation end, comprising: Receive the sample transported by the sampling end, and receive a first control instruction for preparing the sample sent by the control end; the first control instruction includes the mixed sample ratio of the coal at different sampling points in the sample, and the sample is a sample obtained by the sampling end from sampling at least two sampling points of the coal pile; Mixing the samples according to the mixing ratio to obtain a sample preparation; The prepared sample is transported to an assay end so that the assay end assays the prepared sample.

5. A coal-fired intelligent unmanned factory collection and processing acceptance method, characterized in that: The method is applied to the assay end and includes: receiving a sample transported by a sample preparation end, and receiving a second control instruction sent by a control end to test the sample; the second control instruction includes an execution method for testing the sample, the sample being a sample obtained by the sample preparation end from preparing a sampled product, and the sampled product being a sample obtained by the sampling end from sampling at least two sampling points of a coal pile; According to the execution mode, the prepared sample is tested to obtain the test result; The test results are uploaded to the control terminal.

6. An intelligent unmanned coal-fired factory collection and acceptance device, characterized in that: The device is applied to a control end and includes: An acquisition unit, used for acquiring positions of at least two sampling points of the coal pile; A sending unit, used for sending the at least two sampling point positions to a sampling end, so that the sampling end samples the coal pile based on the at least two sampling point positions to obtain a sample; The sending unit is further used to send a first control instruction for preparing the sample to the sample preparation end, so that the sample preparation end prepares the sample based on the first control instruction to obtain a prepared sample; The sending unit is used to send a second control instruction for testing the prepared sample to the testing end, so that the testing end tests the prepared sample based on the second control instruction, obtains the test result, and uploads the test result to the control end.

7. An intelligent unmanned coal-fired factory collection and acceptance device, characterized in that: The device is applied to a sampling end and comprises: A receiving unit, used for receiving the positions of at least two sampling points of the coal pile sent by the control end, and obtaining the sampling depth; A sampling unit, used to sample the coal pile according to the positions of the at least two sampling points and the sampling depth to obtain a sample; The transport unit is used to transport the sample to the sample preparation end so that the sample preparation end can prepare the sample.

8. An intelligent unmanned coal-fired factory collection and acceptance device, characterized in that: The device is applied to the sample preparation end and comprises: A receiving unit is used to receive the sample transported by the sampling end, and receive a first control instruction sent by the control end to prepare the sample of the sample; the first control instruction includes a mixed sample ratio of coal at different sampling points in the sample, and the sample is a sample obtained by the sampling end from sampling at least two sampling points of the coal pile; A sample mixing unit, used for mixing the samples according to the sample mixing ratio to obtain a sample preparation; The transport unit is used to transport the prepared sample to the testing end so that the testing end can test the prepared sample.

9. An intelligent unmanned coal-fired factory collection and acceptance device, characterized in that: The device is applied to the assay end and comprises: A receiving unit is used to receive a sample transported by a sample preparation end, and receive a second control instruction sent by a control end to test the sample; the second control instruction includes an execution method for testing the sample, the sample is a sample obtained by the sample preparation end from preparing a sampled product, and the sampled product is a sample obtained by the sampling end from sampling at least two sampling points of a coal pile; An assay unit, used to assay the prepared sample according to the execution mode to obtain an assay result; The uploading unit is used to upload the test result to the control terminal.

10. An intelligent unmanned coal-fired factory collection and acceptance system, characterized in that: The system includes a control end, a sampling end, a sample preparation end and an assay end, including: The control end includes the intelligent unmanned factory coal mining and acceptance device as claimed in claim 6; The sampling end includes the intelligent unmanned factory sampling and acceptance device for coal combustion as claimed in claim 7; The sample preparation end includes the intelligent unmanned factory sampling and acceptance device for coal combustion as described in claim 8; The testing end includes the intelligent unmanned factory coal mining and acceptance device as described in claim 9.

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