Nanometer fertilizer production workshop monitoring system and method

Abstract

The invention provides a nano-fertilizer production workshop monitoring system and method. The method comprises the following steps: detecting a target production process corresponding to a target production workshop in real time; a plurality of process nodes included in the target production process are correspondingly detected, and a production area corresponding to each process node is determined in the target production workshop; real-time environment data corresponding to each production area is acquired in real time through a preset acquisition device, and a data transmission network matched with each production area is constructed in real time based on a preset rule; a corresponding target data packet is generated in real time, and the target data packet is correspondingly transmitted to a preset data analysis model, so that whether abnormal environment data exists in the target data packet or not is judged in real time through the preset data analysis model; and if yes, matching standard environment data corresponding to the abnormal environment data in real time, and correspondingly replacing the abnormal environment data with the standard environment data. The working efficiency can be effectively improved.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to a nano fertilizer production workshop monitoring system and method. Background Art

[0002] With the continuous advancement of science and technology and the rapid development of the times, people's research on agricultural fertilizers has become increasingly mature, and various types of fertilizers have been developed accordingly, which has correspondingly increased the yield of crops.

[0003] Among them, people have developed nano fertilizers, and the existing nano fertilizers have been widely used because of their excellent performance. Specifically, the existing nano fertilizers are produced by specific production workshops to correspondingly improve the product yield of the nano fertilizer.

[0004] Furthermore, existing production workshops need to use a specific production process in the process of producing nanofertilizers, and the production process includes several production nodes, wherein each production node needs to perform corresponding production in a specific production environment. However, in the process of managing the production environment of each production node, most of the existing technologies rely on staff to manually adjust the corresponding environmental parameters. However, in the actual production process, when an environmental parameter is abnormal, the existing staff cannot discover and make corresponding adjustments in time, which leads to abnormalities in the production line, correspondingly reducing the product yield and reducing work efficiency. Summary of the invention

[0005] Based on this, the purpose of the present invention is to provide a nano-fertilizer production workshop monitoring system and method to solve the problem that the prior art cannot timely discover and adjust abnormal environmental parameters, resulting in abnormal production lines.

[0006] The first aspect of the embodiment of the present invention proposes: A method for monitoring a nano fertilizer production workshop, wherein the method comprises: When receiving in real time the target production workshop input by the user through the user terminal, the target production process corresponding to the target production workshop is detected in real time in the preset database; Performing a full scan of the target production process to detect a number of process nodes included in the target production process, and determining a production area corresponding to each process node in the target production workshop; The real-time environmental data corresponding to each of the production areas is acquired in real time through a preset acquisition device, and a data transmission network adapted to each of the production areas is constructed in real time based on preset rules; The real-time environmental data of each production area is integrated and processed through the data transmission network to generate a corresponding target data packet in real time, and the target data packet is correspondingly transmitted to a preset data analysis model to determine in real time whether there is abnormal environmental data in the target data packet through the preset data analysis model; If the preset data analysis model is used in real time to determine that abnormal environmental data exists in the target data packet, the standard environmental data corresponding to the abnormal environmental data is matched in real time in the preset database, and the abnormal environmental data is replaced with the standard environmental data, and the target data packet is unique.

[0007] The beneficial effect of the present invention is that by receiving the target production workshop input by the user in real time, the corresponding target production process can be further matched, and based on this, subsequent analysis can be carried out, wherein it is necessary to obtain the specific process nodes and the corresponding production areas in real time to obtain the required real-time environmental data. Furthermore, it is only necessary to integrate the current real-time environmental data to generate the corresponding target data packet, so that the final judgment can be made through the preset data analysis model to finally determine whether there is abnormal environmental data in the current target data packet, thereby eliminating manual operations and being able to quickly and accurately identify and adjust abnormal environmental data, thereby improving work efficiency.

[0008] Furthermore, the step of constructing a data transmission network adapted to each of the production areas in real time based on preset rules includes: When each of the production areas is acquired in real time, a workshop design drawing corresponding to the target production workshop is extracted in real time from the preset database, wherein the workshop design drawing is a two-dimensional drawing; In the workshop design drawings, the regional design drawings corresponding to each of the production areas are detected in real time, and the regional boundaries and regional areas corresponding to the production areas are detected in real time according to the regional design drawings; A data transmission network adapted to each of the production areas is constructed in real time based on the area boundaries and the area areas.

[0009] Furthermore, the step of constructing a data transmission network adapted to each of the production areas in real time based on the area boundaries and the area areas includes: When the region boundary and the region area are acquired in real time, the region boundary and the region area are integrated and processed in real time by a preset program to determine in real time the region shape corresponding to the production area; Determine in real time the geometric center corresponding to the production area according to the shape of the area, and set the preset acquisition device at the geometric center accordingly, so as to obtain in real time the real-time environmental data corresponding to the production area through the preset acquisition device; A data transmission network adapted to each of the production areas is constructed in real time based on the geometric center.

[0010] Furthermore, the step of constructing a data transmission network adapted to each of the production areas in real time based on the geometric center includes: When the geometric center of each production area is obtained in real time, a sorting is performed according to the size of the area of ​​each production area to generate a corresponding first sequence table, wherein the larger the area, the lower the ranking; Real-time detection of the data collection time corresponding to each of the production areas, and secondary sorting in the first sequence table according to the size of the data collection time of each of the production areas to generate a corresponding second sequence table; The preset collection devices in each of the production areas are communicatively connected in real time according to the ranking in the second sequence table, so as to generate the data transmission network accordingly.

[0011] Furthermore, the step of integrating and processing the real-time environmental data of each production area through the data transmission network to generate a corresponding target data packet in real time includes: Receiving the real-time environmental data generated by each of the production areas in real time through the data transmission network, and analyzing and processing each of the real-time environmental data to detect in real time a number of data elements corresponding to the real-time environmental data; Corresponding target identifiers are added to the plurality of data elements respectively, and the plurality of data elements are integrated based on the target identifiers to generate the target data packet accordingly, and the target data packet is unique.

[0012] Furthermore, the step of adding corresponding target identifiers to the plurality of data elements respectively, and integrating the plurality of data elements based on the target identifiers to generate the target data packet accordingly includes: When the target identifier of each data element is obtained respectively, the initial data subset corresponding to each data element is matched in the real-time environment data in sequence according to the target identifier; Performing a full scan on each of the initial data subsets to respectively detect a number of monitoring values ​​contained in each of the initial data subsets; A monitoring data chain corresponding to the initial data subset is constructed in real time according to a number of the monitoring values, and each of the monitoring data chains is integrated and processed to generate the target data packet accordingly. Each of the initial data subsets corresponds to a monitoring data chain, and each of the initial data subsets is unique.

[0013] Furthermore, the step of integrating and processing each of the monitoring data links to generate the target data packet accordingly includes: Detecting in real time the starting point and the ending point corresponding to each of the monitoring data links, and calculating in real time the similarity between each of the monitoring data links within the range of the starting point and the ending point, and determining in real time whether the similarity is greater than a preset similarity threshold; If it is determined in real time that the similarity is greater than the preset similarity threshold, each monitoring data chain is retained accordingly, and each monitoring data chain is integrated and processed to generate the target data packet accordingly, and each monitoring data chain is unique.

[0014] The second aspect of the embodiment of the present invention proposes: A nano fertilizer production workshop monitoring system, wherein the system comprises: A detection module, configured to detect in real time a target production workshop corresponding to the target production workshop in a preset database when receiving the target production workshop input by the user through the user terminal in real time; A scanning module, used for performing a full scan of the target production process to detect a number of process nodes included in the target production process, and determining a production area corresponding to each process node in the target production workshop; An acquisition module, used to acquire the real-time environmental data corresponding to each of the production areas in real time through a preset acquisition device, and to construct a data transmission network adapted to each of the production areas in real time based on preset rules; A processing module, used for integrating and processing the real-time environmental data of each of the production areas through the data transmission network to generate a corresponding target data packet in real time, and transmitting the target data packet to a preset data analysis model to determine in real time whether there is abnormal environmental data in the target data packet through the preset data analysis model; The execution module is used to match the standard environment data corresponding to the abnormal environment data in the preset database in real time if it is determined in real time through the preset data analysis model that there is abnormal environment data in the target data packet, and replace the abnormal environment data with the standard environment data, and the target data packet is unique.

[0015] Furthermore, the acquisition module is specifically used for: When each of the production areas is acquired in real time, a workshop design drawing corresponding to the target production workshop is extracted in real time from the preset database, wherein the workshop design drawing is a two-dimensional drawing; In the workshop design drawings, the regional design drawings corresponding to each of the production areas are detected in real time, and the regional boundaries and regional areas corresponding to the production areas are detected in real time according to the regional design drawings; A data transmission network adapted to each of the production areas is constructed in real time based on the area boundaries and the area areas.

[0016] Furthermore, the acquisition module is specifically used for: When the region boundary and the region area are acquired in real time, the region boundary and the region area are integrated and processed in real time by a preset program to determine in real time the region shape corresponding to the production area; Determine in real time the geometric center corresponding to the production area according to the shape of the area, and set the preset acquisition device at the geometric center accordingly, so as to obtain in real time the real-time environmental data corresponding to the production area through the preset acquisition device; A data transmission network adapted to each of the production areas is constructed in real time based on the geometric center.

[0017] Furthermore, the acquisition module is specifically used for: When the geometric center of each production area is obtained in real time, a sorting is performed according to the size of the area of ​​each production area to generate a corresponding first sequence table, wherein the larger the area, the lower the ranking; Real-time detection of the data collection time corresponding to each of the production areas, and secondary sorting in the first sequence table according to the size of the data collection time of each of the production areas to generate a corresponding second sequence table; The preset collection devices in each of the production areas are communicatively connected in real time according to the ranking in the second sequence table, so as to generate the data transmission network accordingly.

[0018] Furthermore, the processing module is specifically used for: Receiving the real-time environmental data generated by each of the production areas in real time through the data transmission network, and analyzing and processing each of the real-time environmental data to detect in real time a number of data elements corresponding to the real-time environmental data; Corresponding target identifiers are added to the plurality of data elements respectively, and the plurality of data elements are integrated based on the target identifiers to generate the target data packet accordingly, and the target data packet is unique.

[0019] Furthermore, the processing module is specifically used for: When the target identifier of each data element is obtained respectively, the initial data subset corresponding to each data element is matched in the real-time environment data in sequence according to the target identifier; Performing a full scan on each of the initial data subsets to respectively detect a number of monitoring values ​​contained in each of the initial data subsets; A monitoring data chain corresponding to the initial data subset is constructed in real time according to a number of the monitoring values, and each of the monitoring data chains is integrated and processed to generate the target data packet accordingly. Each of the initial data subsets corresponds to a monitoring data chain, and each of the initial data subsets is unique.

[0020] Furthermore, the processing module is specifically used for: Detecting in real time the starting point and the ending point corresponding to each of the monitoring data links, and calculating in real time the similarity between each of the monitoring data links within the range of the starting point and the ending point, and determining in real time whether the similarity is greater than a preset similarity threshold; If it is determined in real time that the similarity is greater than the preset similarity threshold, each monitoring data chain is retained accordingly, and each monitoring data chain is integrated and processed to generate the target data packet accordingly, and each monitoring data chain is unique.

[0021] The third aspect of the embodiment of the present invention proposes: A computer comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the nano-fertilizer production workshop monitoring method as described above when executing the computer program.

[0022] The fourth aspect of the embodiments of the present invention proposes: A readable storage medium stores a computer program, wherein when the program is executed by a processor, the nano-fertilizer production workshop monitoring method as described above is implemented.

[0023] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1A flow chart of a method for monitoring a nano-fertilizer production workshop provided by a first embodiment of the present invention; Figure 2 This is a structural block diagram of a nano-fertilizer production workshop monitoring system provided in the third embodiment of the present invention.

[0025] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0026] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0027] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0029] See also Figure 1 , shown is a nano-fertilizer production workshop monitoring method provided by the first embodiment of the present invention. The nano-fertilizer production workshop monitoring method provided by this embodiment can quickly and accurately search and adjust abnormal environmental data, thereby correspondingly improving work efficiency.

[0030] Specifically, this embodiment provides: A method for monitoring a nano fertilizer production workshop comprises the following steps: Step S10, when the target production workshop input by the user through the user terminal is received in real time, the target production process corresponding to the target production workshop is detected in real time in the preset database; Step S20, performing a full scan of the target production process to detect a number of process nodes included in the target production process, and determining a production area corresponding to each process node in the target production workshop; Step S30, obtaining real-time environmental data corresponding to each of the production areas in real time through a preset acquisition device, and constructing a data transmission network adapted to each of the production areas in real time based on preset rules; Step S40, integrating and processing the real-time environmental data of each of the production areas through the data transmission network to generate a corresponding target data packet in real time, and transmitting the target data packet to a preset data analysis model to determine in real time whether there is abnormal environmental data in the target data packet through the preset data analysis model; Step S50, if it is determined in real time through the preset data analysis model that there is abnormal environmental data in the target data packet, the standard environmental data corresponding to the abnormal environmental data is matched in real time in the preset database, and the abnormal environmental data is replaced with the standard environmental data, and the target data packet is unique.

[0031] Specifically, in this embodiment, it should be noted that in order to quickly and accurately find and adjust abnormal environment data, it is necessary to accurately obtain the workshop information corresponding to the target production workshop, based on which, targeted monitoring is performed, so that it is possible to objectively and accurately determine whether an abnormality occurs. Based on this, before starting the process, it is necessary to first determine a clear processing object, that is, to obtain the user's needs in real time. Further, the server set in the background can detect the user terminal used by the user in real time, and can further receive the target production workshop sent by the user through the user terminal in real time, that is, the required processing object. Based on this, in order to facilitate subsequent analysis, the present invention will further match the target production process corresponding to the current target production workshop in the pre-set database, that is, the production process used inside the current target production workshop. Among them, it should be pointed out that since the existing production processes are composed of a series of process nodes, similarly, the present invention will further detect the corresponding process nodes contained in the current target production process, wherein each process node completes different tasks through different equipment, based on which, each process node needs to set a corresponding production area, and each production area has a certain size and shape.

[0032] Furthermore, after several production areas are determined in real time through the above steps, it is necessary to collect the required data in the daily production process, that is, to obtain the corresponding environmental data through the collection device set inside each production area for subsequent analysis. It should be pointed out that the collection device provided by the present invention contains multiple sensors inside, which can collect different types of environmental data at the same time. Based on this, in order to further improve the data processing efficiency, the present invention will further construct a data transmission network that is compatible with several current production areas, so that the real-time environmental data transmission and integration can be completed in a timely and accurate manner, and the required target data packets can be further generated. Based on this, in order to complete the subsequent analysis, the present invention will further transmit the current target data packet to a pre-set data analysis model. Specifically, the data analysis model can perform real-time analysis on the current target data packet through a pre-set algorithm. Preferably, the current real-time received data can be compared with the existing standard data, so as to further determine whether there is abnormal environmental data in the current target data packet. Specifically, if so, the current abnormal environmental data will be further selected, and the standard environmental data corresponding to the current abnormal environmental data can be further matched in real time in the above-mentioned preset database. On this basis, the current abnormal environmental data is finally replaced with the current standard environmental data, so that the above-mentioned target production workshop can be kept in a normal production state, while ensuring the production yield of the product, thereby correspondingly improving work efficiency.

[0033] Second embodiment Furthermore, the step of constructing a data transmission network adapted to each of the production areas in real time based on preset rules includes: When each of the production areas is acquired in real time, a workshop design drawing corresponding to the target production workshop is extracted in real time from the preset database, wherein the workshop design drawing is a two-dimensional drawing; In the workshop design drawings, the regional design drawings corresponding to each of the production areas are detected in real time, and the regional boundaries and regional areas corresponding to the production areas are detected in real time according to the regional design drawings; A data transmission network adapted to each of the production areas is constructed in real time based on the area boundaries and the area areas.

[0034] Furthermore, the step of constructing a data transmission network adapted to each of the production areas in real time based on the area boundaries and the area areas includes: When the region boundary and the region area are acquired in real time, the region boundary and the region area are integrated and processed in real time by a preset program to determine in real time the region shape corresponding to the production area; Determine in real time the geometric center corresponding to the production area according to the shape of the area, and set the preset acquisition device at the geometric center accordingly, so as to obtain in real time the real-time environmental data corresponding to the production area through the preset acquisition device; A data transmission network adapted to each of the production areas is constructed in real time based on the geometric center.

[0035] Furthermore, the step of constructing a data transmission network adapted to each of the production areas in real time based on the geometric center includes: When the geometric center of each production area is obtained in real time, a sorting is performed according to the size of the area of ​​each production area to generate a corresponding first sequence table, wherein the larger the area, the lower the ranking; Real-time detection of the data collection time corresponding to each of the production areas, and secondary sorting in the first sequence table according to the size of the data collection time of each of the production areas to generate a corresponding second sequence table; The preset collection devices in each of the production areas are communicatively connected in real time according to the ranking in the second sequence table, so as to generate the data transmission network accordingly.

[0036] Furthermore, the step of integrating and processing the real-time environmental data of each production area through the data transmission network to generate a corresponding target data packet in real time includes: Receiving the real-time environmental data generated by each of the production areas in real time through the data transmission network, and analyzing and processing each of the real-time environmental data to detect in real time a number of data elements corresponding to the real-time environmental data; Corresponding target identifiers are added to the plurality of data elements respectively, and the plurality of data elements are integrated based on the target identifiers to generate the target data packet accordingly, and the target data packet is unique.

[0037] Furthermore, the step of adding corresponding target identifiers to the plurality of data elements respectively, and integrating the plurality of data elements based on the target identifiers to generate the target data packet accordingly includes: When the target identifier of each data element is obtained respectively, the initial data subset corresponding to each data element is matched in the real-time environment data in sequence according to the target identifier; Performing a full scan on each of the initial data subsets to respectively detect a number of monitoring values ​​contained in each of the initial data subsets; A monitoring data chain corresponding to the initial data subset is constructed in real time according to a number of the monitoring values, and each of the monitoring data chains is integrated and processed to generate the target data packet accordingly. Each of the initial data subsets corresponds to a monitoring data chain, and each of the initial data subsets is unique.

[0038] Furthermore, the step of integrating and processing each of the monitoring data links to generate the target data packet accordingly includes: Detecting in real time the starting point and the ending point corresponding to each of the monitoring data links, and calculating in real time the similarity between each of the monitoring data links within the range of the starting point and the ending point, and determining in real time whether the similarity is greater than a preset similarity threshold; If it is determined in real time that the similarity is greater than the preset similarity threshold, each monitoring data chain is retained accordingly, and each monitoring data chain is integrated and processed to generate the target data packet accordingly, and each monitoring data chain is unique.

[0039] In addition, in this embodiment, it is also necessary to explain that after a number of process nodes are acquired in real time through the above steps, in order to further objectively and accurately acquire the required target data packets to further improve the accuracy of subsequent judgment results, it is necessary to construct an adaptive data transmission network. Preferably, since the space and area of ​​each target production workshop are limited, the production area of ​​each process node is also limited. Based on this, in order to accurately acquire the real-time environmental data of each production area, it is necessary to acquire the characteristics of each production area. Preferably, the present invention will first detect the workshop design drawing corresponding to the current target production workshop, and can further determine the regional boundaries and regional areas corresponding to each current production area according to the workshop design drawing, wherein the regional shape corresponding to each production area can be determined according to the existing regional boundaries and regional areas, wherein it is necessary to point out that the regional shape of each production area determines the data acquisition range of each production area, based on this, in order to improve the data According to the collection efficiency, the present invention will set the above-mentioned collection device at the geometric center of each production area, wherein the geometric center can be determined according to the shape of the above-mentioned area. In addition, it should be pointed out that due to the different sizes of each production area, the data collection time and data collection amount of each production area are different. Based on this, in order to reasonably complete the data transmission, the present invention will first perform a corresponding sorting according to the current area size of each production area, and can synchronously generate a corresponding first sequence table. Among them, since the factors considered in the ranking of the first sequence table are not comprehensive enough, based on this, the present invention will further complete a secondary sorting according to the data collection time of each production area in the current first sequence table, so as to further obtain a second sequence table. Based on this, the ranking in the second sequence table is the final ranking of the data transmission order. Further, the present invention will further connect the collection devices in each of the above-mentioned production areas in sequence according to the ranking in the current second sequence table, and can synchronously generate the above-mentioned data transmission network for subsequent processing.

[0040] Furthermore, after the required target data packet is acquired in real time through the above steps, the current target data packet needs to be further processed. After the data transmission network is constructed in real time through the above steps, in order to enable the current data transmission network to objectively and accurately output the required target data packet, the real-time environmental data received in real time will be further detected to detect a number of data elements contained in the real-time environmental data received in real time, wherein each data element corresponds to a different data set. Based on this, the present invention will further extract initial data subsets corresponding to each current data element in the above real-time environmental data, and further detect a number of monitoring values ​​corresponding to the current initial data subset. At the same time, based on the current monitoring values, further construct A monitoring data chain corresponding to the current initial data subset is constructed, wherein it should be pointed out that in order to avoid redundant data, the present invention will further calculate the similarity between each current monitoring data chain. Preferably, in order to facilitate comparison, the starting point and the ending point of each monitoring data chain will be detected respectively. Based on this, corresponding comparison and calculation can be performed within the range of the current starting point and the ending point. If the similarity calculated in real time is greater than the preset similarity threshold, it indicates that there are too many repeated contents between the two, and one data between the two needs to be removed. Correspondingly, if the similarity calculated in real time is less than the preset similarity threshold, it indicates that there are no monitoring data chains with too much similar content. At this time, the current monitoring data chains can be directly integrated and processed, and the above-mentioned target data packets can be generated synchronously to facilitate subsequent processing.

[0041] See also Figure 2 , the third embodiment of the present invention provides: A nano fertilizer production workshop monitoring system, wherein the system comprises: A detection module, configured to detect in real time a target production workshop corresponding to the target production workshop in a preset database when receiving the target production workshop input by the user through the user terminal in real time; A scanning module, used for performing a full scan of the target production process to detect a number of process nodes included in the target production process, and determining a production area corresponding to each process node in the target production workshop; An acquisition module, used to acquire the real-time environmental data corresponding to each of the production areas in real time through a preset acquisition device, and to construct a data transmission network adapted to each of the production areas in real time based on preset rules; A processing module, used for integrating and processing the real-time environmental data of each of the production areas through the data transmission network to generate a corresponding target data packet in real time, and transmitting the target data packet to a preset data analysis model to determine in real time whether there is abnormal environmental data in the target data packet through the preset data analysis model; The execution module is used to match the standard environment data corresponding to the abnormal environment data in the preset database in real time if it is determined in real time through the preset data analysis model that there is abnormal environment data in the target data packet, and replace the abnormal environment data with the standard environment data, and the target data packet is unique.

[0042] Furthermore, the acquisition module is specifically used for: When each of the production areas is acquired in real time, a workshop design drawing corresponding to the target production workshop is extracted in real time from the preset database, wherein the workshop design drawing is a two-dimensional drawing; In the workshop design drawings, the regional design drawings corresponding to each of the production areas are detected in real time, and the regional boundaries and regional areas corresponding to the production areas are detected in real time according to the regional design drawings; A data transmission network adapted to each of the production areas is constructed in real time based on the area boundaries and the area areas.

[0043] Furthermore, the acquisition module is specifically used for: When the region boundary and the region area are acquired in real time, the region boundary and the region area are integrated and processed in real time by a preset program to determine in real time the region shape corresponding to the production area; Determine in real time the geometric center corresponding to the production area according to the shape of the area, and set the preset acquisition device at the geometric center accordingly, so as to obtain in real time the real-time environmental data corresponding to the production area through the preset acquisition device; A data transmission network adapted to each of the production areas is constructed in real time based on the geometric center.

[0044] Furthermore, the acquisition module is specifically used for: When the geometric center of each production area is obtained in real time, a sorting is performed according to the size of the area of ​​each production area to generate a corresponding first sequence table, wherein the larger the area, the lower the ranking; Real-time detection of the data collection time corresponding to each of the production areas, and secondary sorting in the first sequence table according to the size of the data collection time of each of the production areas to generate a corresponding second sequence table; The preset collection devices in each of the production areas are communicatively connected in real time according to the ranking in the second sequence table, so as to generate the data transmission network accordingly.

[0045] Furthermore, the processing module is specifically used for: Receiving the real-time environmental data generated by each of the production areas in real time through the data transmission network, and analyzing and processing each of the real-time environmental data to detect in real time a number of data elements corresponding to the real-time environmental data; Corresponding target identifiers are added to the plurality of data elements respectively, and the plurality of data elements are integrated based on the target identifiers to generate the target data packet accordingly, and the target data packet is unique.

[0046] Furthermore, the processing module is specifically used for: When the target identifier of each data element is obtained respectively, the initial data subset corresponding to each data element is matched in the real-time environment data in sequence according to the target identifier; Performing a full scan on each of the initial data subsets to respectively detect a number of monitoring values ​​contained in each of the initial data subsets; A monitoring data chain corresponding to the initial data subset is constructed in real time according to a number of the monitoring values, and each of the monitoring data chains is integrated and processed to generate the target data packet accordingly. Each of the initial data subsets corresponds to a monitoring data chain, and each of the initial data subsets is unique.

[0047] Furthermore, the processing module is specifically used for: Detecting in real time the starting point and the ending point corresponding to each of the monitoring data links, and calculating in real time the similarity between each of the monitoring data links within the range of the starting point and the ending point, and determining in real time whether the similarity is greater than a preset similarity threshold; If it is determined in real time that the similarity is greater than the preset similarity threshold, each monitoring data chain is retained accordingly, and each monitoring data chain is integrated and processed to generate the target data packet accordingly, and each monitoring data chain is unique.

[0048] A fourth embodiment of the present invention provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the nano-fertilizer production workshop monitoring method as described above when executing the computer program.

[0049] The fifth embodiment of the present invention provides a readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the nano-fertilizer production workshop monitoring method as described above is implemented.

[0050] In summary, the nano-fertilizer production workshop monitoring system and method provided by the above-mentioned embodiments of the present invention can quickly and accurately search and adjust abnormal environmental data, thereby correspondingly improving work efficiency.

[0051] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0052] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0053] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0054] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0055] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0056] The above-described embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.

Claims

1. A nano fertilizer production workshop monitoring method, characterized in that: The method comprises: When receiving in real time the target production workshop input by the user through the user terminal, the target production process corresponding to the target production workshop is detected in real time in the preset database; Performing a full scan of the target production process to detect a number of process nodes included in the target production process, and determining a production area corresponding to each process node in the target production workshop; The real-time environmental data corresponding to each of the production areas is acquired in real time through a preset acquisition device, and a data transmission network adapted to each of the production areas is constructed in real time based on preset rules; The real-time environmental data of each production area is integrated and processed through the data transmission network to generate a corresponding target data packet in real time, and the target data packet is correspondingly transmitted to a preset data analysis model to determine in real time whether there is abnormal environmental data in the target data packet through the preset data analysis model; If the preset data analysis model is used in real time to determine that abnormal environmental data exists in the target data packet, the standard environmental data corresponding to the abnormal environmental data is matched in real time in the preset database, and the abnormal environmental data is replaced with the standard environmental data, and the target data packet is unique.

2. The nano-fertilizer production workshop monitoring method according to claim 1, characterized in that: The step of constructing a data transmission network adapted to each of the production areas in real time based on preset rules comprises: When each of the production areas is acquired in real time, a workshop design drawing corresponding to the target production workshop is extracted in real time from the preset database, wherein the workshop design drawing is a two-dimensional drawing; In the workshop design drawings, the regional design drawings corresponding to each of the production areas are detected in real time, and the regional boundaries and regional areas corresponding to the production areas are detected in real time according to the regional design drawings; A data transmission network adapted to each of the production areas is constructed in real time based on the area boundaries and the area areas.

3. The nano fertilizer production workshop monitoring method according to claim 2, characterized in that: The step of constructing a data transmission network adapted to each of the production areas in real time based on the area boundaries and the area areas comprises: When the region boundary and the region area are acquired in real time, the region boundary and the region area are integrated and processed in real time by a preset program to determine in real time the region shape corresponding to the production area; Determine in real time the geometric center corresponding to the production area according to the shape of the area, and set the preset acquisition device at the geometric center accordingly, so as to obtain in real time the real-time environmental data corresponding to the production area through the preset acquisition device; A data transmission network adapted to each of the production areas is constructed in real time based on the geometric center.

4. The nano fertilizer production workshop monitoring method according to claim 3, characterized in that: The step of constructing a data transmission network adapted to each of the production areas in real time based on the geometric center includes: When the geometric center of each production area is obtained in real time, a sorting is performed according to the size of the area of ​​each production area to generate a corresponding first sequence table, wherein the larger the area, the lower the ranking; Real-time detection of the data collection time corresponding to each of the production areas, and secondary sorting in the first sequence table according to the size of the data collection time of each of the production areas to generate a corresponding second sequence table; The preset collection devices in each of the production areas are communicatively connected in real time according to the ranking in the second sequence table, so as to generate the data transmission network accordingly.

5. The nano fertilizer production workshop monitoring method according to claim 1, characterized in that: The step of integrating and processing the real-time environmental data of each production area through the data transmission network to generate a corresponding target data packet in real time includes: Receiving the real-time environmental data generated by each of the production areas in real time through the data transmission network, and analyzing and processing each of the real-time environmental data to detect in real time a number of data elements corresponding to the real-time environmental data; Corresponding target identifiers are added to the plurality of data elements respectively, and the plurality of data elements are integrated based on the target identifiers to generate the target data packet accordingly, and the target data packet is unique.

6. The nano-fertilizer production workshop monitoring method according to claim 5, characterized in that: The step of adding corresponding target identifiers to the plurality of data elements respectively, and integrating the plurality of data elements based on the target identifiers to generate the target data packet accordingly includes: When the target identifier of each data element is obtained respectively, the initial data subset corresponding to each data element is matched in the real-time environment data in sequence according to the target identifier; Performing a full scan on each of the initial data subsets to respectively detect a number of monitoring values ​​contained in each of the initial data subsets; A monitoring data chain corresponding to the initial data subset is constructed in real time according to a number of the monitoring values, and each of the monitoring data chains is integrated and processed to generate the target data packet accordingly. Each of the initial data subsets corresponds to a monitoring data chain, and each of the initial data subsets is unique.

7. The nano-fertilizer production workshop monitoring method according to claim 6, characterized in that: The step of integrating and processing each of the monitoring data links to generate the target data packet accordingly comprises: Detecting in real time the starting point and the ending point corresponding to each of the monitoring data links, and calculating in real time the similarity between each of the monitoring data links within the range of the starting point and the ending point, and determining in real time whether the similarity is greater than a preset similarity threshold; If it is determined in real time that the similarity is greater than the preset similarity threshold, each monitoring data chain is retained accordingly, and each monitoring data chain is integrated and processed to generate the target data packet accordingly, and each monitoring data chain is unique.

8. A nano fertilizer production workshop monitoring system, characterized in that: The system comprises: A detection module, configured to detect in real time a target production workshop corresponding to the target production workshop in a preset database when receiving the target production workshop input by the user through the user terminal in real time; A scanning module, used for performing a full scan of the target production process to detect a number of process nodes included in the target production process, and determining a production area corresponding to each process node in the target production workshop; An acquisition module, used to acquire the real-time environmental data corresponding to each of the production areas in real time through a preset acquisition device, and to construct a data transmission network adapted to each of the production areas in real time based on preset rules; A processing module, used for integrating and processing the real-time environmental data of each of the production areas through the data transmission network to generate a corresponding target data packet in real time, and transmitting the target data packet to a preset data analysis model to determine in real time whether there is abnormal environmental data in the target data packet through the preset data analysis model; The execution module is used to match the standard environment data corresponding to the abnormal environment data in the preset database in real time if it is determined in real time through the preset data analysis model that there is abnormal environment data in the target data packet, and replace the abnormal environment data with the standard environment data, and the target data packet is unique.

9. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the nanofertilizer production workshop monitoring method as described in any one of claims 1 to 7 is implemented.

10. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the nano-fertilizer production workshop monitoring method as described in any one of claims 1 to 7 is implemented.

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