Explosion-proof equipment charging intelligent monitoring method and system based on Internet of Things

Abstract

The invention discloses an explosion-proof equipment charging intelligent monitoring method and system based on the Internet of Things, and belongs to the technical field of intelligent monitoring. Based on the Internet of Things terminal, acquiring operation duration, task type and power consumption data of the explosion-proof equipment; uniformly dividing the operation duration into a plurality of operation duration segments, and constructing an operation duration segment set; constructing a fluctuation curve of the explosion-proof equipment in single operation; dividing the fluctuation curve into a plurality of fluctuation curve segments according to the operation duration segment; calculating electric quantity energy consumption of the anti-riot equipment in a single fluctuation curve section, and calculating an electric quantity energy consumption comprehensive value of the anti-riot equipment; constructing an electric quantity and energy consumption comprehensive matrix of the explosion-proof equipment; calculating a row differential value and a column differential value; the electric quantity energy consumption collaborative discrete index of the explosion-proof equipment during execution of different task types is calculated, the charging strategy is dynamically adjusted in combination with the preset threshold value, charging intelligent and differentiated management of the explosion-proof equipment in the multi-task environment is achieved, the charging efficiency is improved, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring technology, and in particular to an Internet of Things-based intelligent monitoring method and system for charging explosion-proof equipment. Background Art

[0002] With the rapid development of Internet of Things (IoT) technology, traditional industrial safety equipment has gradually been upgraded to intelligent ones. Especially in high-risk industries such as coal mining, petrochemicals, and emergency rescue, the large-scale use of explosion-proof equipment (such as explosion-proof flashlights, explosion-proof cameras, explosion-proof communication equipment, etc.) has placed higher requirements on the stability and reliability of power supply. In order to improve the continuous operation capability of equipment and the stability of on-site task execution, related fields have begun to explore the application of IoT technology to the operation status collection, fault diagnosis and maintenance management of explosion-proof equipment. At present, some studies have been conducted on remote monitoring and power warning by collecting parameters such as voltage, current, and temperature of equipment, but these methods mostly stay at the level of threshold judgment and real-time alarm. They lack systematic modeling and intelligent analysis of the differences in equipment operation tasks and historical energy consumption characteristics, and are difficult to support the dynamic charging management needs under complex working conditions.

[0003] Existing technologies still have significant deficiencies in the charging management of explosion-proof equipment. First, traditional power monitoring is mostly based on the average power decline rate, and fails to conduct differentiated analysis based on the type of tasks performed by the equipment and the operating time. This results in low power prediction accuracy and is prone to charging lags or overcharging. Secondly, existing methods generally do not perform fine-grained modeling of energy consumption fluctuations within the equipment's operating cycle, making it difficult to detect high-energy consumption stages under specific tasks, which is not conducive to early intervention and scientific scheduling. In addition, the lack of a comprehensive analysis of the discreteness of energy consumption between multiple running tasks makes it impossible to intelligently adjust the charging strategy based on the intensity of equipment use and task coordination. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent monitoring method and system for charging explosion-proof equipment based on the Internet of Things to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] The invention discloses an intelligent monitoring method for charging explosion-proof equipment based on the Internet of Things. The method comprises the following steps: step S1: based on an Internet of Things terminal, collecting operation time, task type and power consumption data of the explosion-proof equipment; evenly dividing the operation time into a number of operation time segments, and constructing an operation time segment set; step S2: constructing a duration-power consumption coordinate system and a fluctuation curve of the riot-proof equipment during a single operation; dividing the fluctuation curve into a number of fluctuation curve segments according to the operation time segments; step S3: based on the fluctuation curve segments, calculating the power energy consumption of the riot-proof equipment in a single fluctuation curve segment; based on the power energy consumption, calculating the comprehensive power energy consumption value of the riot-proof equipment; constructing a comprehensive power energy consumption matrix of the explosion-proof equipment; step S4: calculating row difference values and column difference values in the comprehensive power energy consumption matrix; calculating the power energy consumption coordinated discrete indicators of the riot-proof equipment when performing different task types; presetting thresholds, analyzing and performing charging monitoring management.

[0007] As a preferred embodiment of the method for intelligently monitoring the charging of explosion-proof equipment based on the Internet of Things described in the present invention, an operation status data packet of the explosion-proof equipment is collected based on an Internet of Things terminal. The operation status data packet includes the operation time, task type, and power consumption data of the explosion-proof equipment during a single operation, wherein one operation corresponds to one task type. The operation time of the kth operation of the explosion-proof equipment under the i-th task type is evenly divided into N operation time segments, and the power consumption data of the explosion-proof equipment in each operation time segment is obtained.

[0008] Construct a set of running time segments, and record the set of running time segments of the riot control equipment for the kth time when performing the i-th task type as RST i,k ={RS i,k,n |n∈[1,N]}, where RS i,k,n Indicates the nth runtime segment, and N indicates the total number of runtime segments.

[0009] As a preferred solution of the method for intelligently monitoring the charging of explosion-proof equipment based on the Internet of Things described in the present invention, a coordinate system of the duration and power consumption of the riot-proof equipment during the kth operation under the i-th task type is constructed. The abscissa of the duration-power consumption coordinate system is the N operation duration segments of the riot-proof equipment during a single operation, and the ordinate of the duration-power consumption coordinate system is the power consumption data corresponding to the riot-proof equipment in each operation duration segment;

[0010] Set the nth running time segment RS i,k,n The corresponding power consumption data is recorded as PC(RS i,k,n ); connect all the coordinate points in the duration-power consumption coordinate system in sequence to construct a duration-power consumption fluctuation curve, and divide the duration-power consumption fluctuation curve into N-1 fluctuation curve segments according to the running duration segment.

[0011] As a preferred solution of the method for intelligently monitoring charging of explosion-proof equipment based on the Internet of Things described in the present invention, the energy consumption of the riot-proof equipment within a single fluctuation curve segment is calculated based on the fluctuation curve segment, and the calculation formula is as follows:

[0012]

[0013] Among them, E i,k,n Indicates the duration of the riot control equipment in operation RS i,k,n-1 To the running length RS i,k,n The energy consumption within the fluctuation curve segment formed between PC(RS i,k,n-1 ) represents the n-1th running time segment RS i,k,n Corresponding power consumption data, RS i,k,n-1 Indicates the n-1th running time segment;

[0014] Based on the energy consumption E i,k,n , calculate the comprehensive value of power consumption of riot control equipment during the kth operation under the i-th task type, the calculation formula is as follows:

[0015]

[0016] Among them, E i,k It represents the comprehensive value of power consumption of riot control equipment during the kth operation under the i-th task type;

[0017] The comprehensive value of energy consumption E based on the k-th operation of riot control equipment in the i-th task type i,k , construct a comprehensive matrix of power and energy consumption of explosion-proof equipment, as follows:

[0018]

[0019] Among them, E I,M It represents the comprehensive value of power consumption of riot control equipment during the Mth operation under the Ith task type, where I represents the total number of task types and M represents the total number of operations.

[0020] As a preferred solution of the method for intelligent monitoring charging of explosion-proof equipment based on the Internet of Things described in the present invention, based on the comprehensive matrix of power and energy consumption, the row difference value of the i-th row and the column difference value of the k-th column in the comprehensive matrix of power and energy consumption are calculated, and the calculation formula is as follows:

[0021]

[0022] Among them, D row,i Represents the row difference value of the i-th row in the comprehensive matrix of power and energy consumption, represents the comprehensive mean value of the power and energy consumption in row i of the comprehensive power and energy consumption matrix, D col,kRepresents the column difference value of the kth column in the comprehensive matrix of power and energy consumption, Represents the comprehensive mean value of the power and energy consumption in the kth column of the comprehensive power and energy consumption matrix;

[0023] Based on the row difference value D of the i-th row in the comprehensive matrix of power and energy consumption row,i and the column difference value D of the kth column col,k , calculate the energy consumption coordination discrete index of riot control equipment when performing different task types. The calculation formula is as follows:

[0024]

[0025] Among them, PCI com It represents the discrete index of energy consumption coordination between riot control equipment when performing different types of tasks, and α represents the preset weight coefficient;

[0026] It should be noted that by calculating the row and column differential values of the matrix, energy consumption differences between different tasks and different operation batches are further quantified. Preset thresholds are used to identify differences and adjust the charging strategy, enabling discrete control and early warning scheduling of energy consumption fluctuations. The row differential value reflects energy consumption fluctuations across multiple runs within a task, while the column differential value reflects the consistency of energy consumption across different tasks within the same operation batch. The collaborative discrete index integrates these two to reflect global stability. When the collaborative discrete index is too high, it can identify possible battery performance degradation, abnormal task load, or environmental interference in advance, and respond appropriately by increasing charging redundancy or shortening the charging cycle, thereby improving the stability and safety of the device's energy supply. When the index remains low, it indicates that the device is operating stably and is well adapted to the task. Maintaining the existing strategy can avoid overcharging or excessive maintenance, thereby improving system efficiency and energy utilization.

[0027] Preset power consumption collaborative discrete indicator threshold, if power consumption collaborative discrete indicator PCI com If the value is greater than or equal to the discrete indicator threshold of power consumption coordination, it is determined that the power consumption of the riot control equipment varies greatly when performing different task types, and the charging redundancy is increased or the charging interval is shortened, and a maintenance reminder is sent;

[0028] If the power consumption and discrete index PCI com If the power consumption is less than the discrete indicator threshold of the power consumption coordination, it is determined that the power consumption of the riot control equipment is stable when performing different task types, and the current charging strategy is maintained.

[0029] An intelligent monitoring system for charging explosion-proof equipment based on the Internet of Things, the system includes: a data acquisition module, a coordinate system construction and line segment division module, an energy consumption calculation and matrix construction module, and an indicator calculation and analysis module;

[0030] The data collection module collects the operating time, task type and power consumption data of the explosion-proof equipment based on the Internet of Things terminal; divides the operating time into several operating time segments and constructs an operating time segment set;

[0031] The coordinate system construction and line segment division module: constructs the duration-power consumption coordinate system and fluctuation curve of the riot control equipment during a single operation; divides the fluctuation curve into a number of fluctuation curve segments according to the operation duration segment;

[0032] The energy consumption calculation and matrix construction module: based on the fluctuation curve segment, calculates the power energy consumption of the riot control equipment within a single fluctuation curve segment; based on the power energy consumption, calculates the comprehensive power energy consumption value of the riot control equipment; and constructs a comprehensive power energy consumption matrix of the explosion-proof equipment;

[0033] The indicator calculation and analysis module: calculates the row difference value and column difference value in the power energy consumption comprehensive matrix; calculates the power energy consumption coordinated discrete index between the riot control equipment performing different task types; presets thresholds, analyzes and performs charging monitoring management.

[0034] Furthermore, the data acquisition module includes a data acquisition unit;

[0035] The data collection unit: based on the Internet of Things terminal, collects the operation status data packet of the riot-proof equipment, wherein the operation status data packet includes the operation time, task type and power consumption data of the riot-proof equipment during a single operation, wherein one operation corresponds to one task type; evenly divides the operation time of the kth operation of the riot-proof equipment under the i-th task type into N operation time segments, obtains the power consumption data of the riot-proof equipment in each operation time segment; and constructs an operation time segment set.

[0036] Furthermore, the coordinate system construction and line segment division module includes a coordinate system construction unit and a line segment division unit;

[0037] The coordinate system construction unit is configured to construct a time-power consumption coordinate system for the kth operation of the riot control equipment when performing the i-th task type, wherein the abscissa of the time-power consumption coordinate system is the N operation time segments of the riot control equipment during a single operation, and the ordinate of the time-power consumption coordinate system is the power consumption data corresponding to the riot control equipment in each operation time segment;

[0038] The line segment division unit sequentially connects all coordinate points in the duration-power consumption coordinate system to construct a duration-power consumption fluctuation curve, and divides the duration-power consumption fluctuation curve into N-1 fluctuation curve segments according to the operation duration segment.

[0039] Furthermore, the energy consumption calculation and matrix construction module includes an energy consumption calculation unit and a matrix construction unit;

[0040] The energy consumption calculation unit calculates the power consumption of the riot control equipment within a single fluctuation curve segment based on the fluctuation curve segment; and calculates the comprehensive power consumption value of the riot control equipment during the kth operation when performing the i-th task type based on the power consumption;

[0041] The matrix construction unit is configured to construct a comprehensive matrix of power consumption of explosion-proof equipment based on the comprehensive power consumption value of the explosion-proof equipment during the k-th operation when performing the i-th task type.

[0042] Furthermore, the index calculation and analysis module includes an index calculation unit and an analysis unit;

[0043] The index calculation unit: based on the power and energy consumption comprehensive matrix, calculates the row difference value of the i-th row and the column difference value of the k-th column in the power and energy consumption comprehensive matrix; based on the row difference value of the i-th row and the column difference value of the k-th column in the power and energy consumption comprehensive matrix, calculates the power and energy consumption coordination discrete index between the riot control equipment performing different task types;

[0044] The analysis unit: presets a power-energy consumption collaborative discrete indicator threshold value. If the power-energy consumption collaborative discrete indicator is greater than or equal to the power-energy consumption collaborative discrete indicator threshold value, it is determined that the power consumption of the riot control equipment when performing different task types varies greatly, and the charging redundancy is increased or the charging interval is shortened, and a maintenance reminder is sent; if the power-energy consumption collaborative discrete indicator is less than the power-energy consumption collaborative discrete indicator threshold value, it is determined that the power consumption of the riot control equipment when performing different task types is stable, and the current charging strategy is maintained.

[0045] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: in the intelligent monitoring method and system for charging explosion-proof equipment based on the Internet of Things provided by the present invention, by collecting operating time, task type and power consumption data, and dividing the operating time segments, a detailed segmentation model of the operating behavior is established, thereby realizing time-series modeling of power consumption and improving the accuracy and comparability of energy consumption data. By constructing a duration-power consumption fluctuation curve and subdividing it into curve segments, the trend of energy consumption changes over time is visualized, providing a structured basis for subsequent energy consumption calculations, and enhancing the continuity and analyzability of energy consumption modeling. Based on the curve segments, the energy consumption of a single segment is calculated and summarized into a comprehensive energy consumption value, and then a comprehensive energy consumption matrix is constructed to achieve unified quantification of energy consumption behaviors under different task types and operating batches, thereby providing data support for horizontal (between task types) and vertical (between operating batches) comparisons. The concepts of row differential values, column differential values and coordinated discrete indicators of power and energy consumption are introduced. By judging the discrete degree of energy consumption behavior and dynamically adjusting the charging strategy based on preset thresholds, intelligent and differentiated charging management of explosion-proof equipment in a multi-tasking environment is achieved, thereby improving charging efficiency, extending equipment service life and reducing maintenance costs. It has extremely high practicality and promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0047] Figure 1 This is a schematic diagram of the steps of an intelligent monitoring method for charging explosion-proof equipment based on the Internet of Things of the present invention;

[0048] Figure 2 It is a structural schematic diagram of an explosion-proof equipment charging intelligent monitoring system based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] See also Figure 1 In the first embodiment, a method for intelligently monitoring the charging of explosion-proof equipment based on the Internet of Things is provided, the method comprising the following steps:

[0051] Step S1: Based on the IoT terminal, collect the operating time, task type and power consumption data of the explosion-proof equipment; evenly divide the operating time into several operating time segments, and construct an operating time segment set.

[0052] Specifically, based on the Internet of Things terminal, an operation status data packet of the explosion-proof equipment is collected, wherein the operation status data packet includes the operation time, task type, and power consumption data of the explosion-proof equipment during a single operation, wherein one operation corresponds to one task type; the operation time of the kth operation of the explosion-proof equipment under the i-th task type is evenly divided into N operation time segments, and the power consumption data of the explosion-proof equipment in each operation time segment is obtained;

[0053] Furthermore, a set of running time segments is constructed, and the set of running time segments of the riot control equipment during the kth operation under the i-th task type is recorded as RST i,k ={RS i,k,n |n∈[1,N]}, where RS i,k,n Indicates the nth runtime segment, and N indicates the total number of runtime segments.

[0054] Step S2: Construct a time-power consumption coordinate system and a fluctuation curve of the riot control equipment during a single operation; and divide the fluctuation curve into a number of fluctuation curve segments according to the operation time segments.

[0055] Specifically, a time-power consumption coordinate system is constructed for the kth operation of the riot control equipment under the i-th task type. The horizontal axis of the time-power consumption coordinate system is the N operation time segments of the riot control equipment during a single operation, and the vertical axis of the time-power consumption coordinate system is the power consumption data corresponding to the riot control equipment in each operation time segment.

[0056] Furthermore, the nth running time segment RS i,k,n The corresponding power consumption data is recorded as PC(RS i,k,n ); connect all the coordinate points in the duration-power consumption coordinate system in sequence to construct a duration-power consumption fluctuation curve, and divide the duration-power consumption fluctuation curve into N-1 fluctuation curve segments according to the running duration segment.

[0057] Step S3: Based on the fluctuation curve segment, the power energy consumption of the riot control equipment in a single fluctuation curve segment is calculated; based on the power energy consumption, the comprehensive power energy consumption value of the riot control equipment is calculated; and a comprehensive power energy consumption matrix of the explosion-proof equipment is constructed.

[0058] Specifically, based on the fluctuation curve segment, the power consumption of the riot control equipment in a single fluctuation curve segment is calculated using the following formula:

[0059]

[0060] Among them, E i,k,n Indicates the duration of the riot control equipment in operation RS i,k,n-1 To the running length RS i,k,n The energy consumption within the fluctuation curve segment formed between PC(RS i,k,n-1 ) represents the n-1th running time segment RS i,k,n Corresponding power consumption data, RS i,k,n-1 Indicates the n-1th running time segment;

[0061] In the present invention, the formula is derived based on the trapezoidal area formula. In the duration-power consumption coordinate system, each fluctuation curve segment can be approximately regarded as a trapezoid. In the formula, is the coefficient in the trapezoidal area formula, [PC(RS i,k,n-1 )+PC(RS i,k,n )] is equivalent to the sum of the upper and lower bases of the trapezoid, that is, the sum of the power consumption data corresponding to two adjacent operating time segments, (RS i,k,n-1 -RS i,k,n) is the height of the trapezoid, representing the time difference between two adjacent operating time segments. This method calculates the energy consumption within a single fluctuation curve segment. This formula accurately quantifies the energy consumption of explosion-proof equipment within each fluctuation curve segment, providing basic data for subsequent calculations of comprehensive energy consumption values. For example, in underground coal mines, the energy consumption of explosion-proof flashlights varies across different time periods. This formula accurately determines the energy consumption within each time period, helping to analyze the power consumption patterns of equipment under different operating conditions.

[0062] Furthermore, based on the energy consumption E i,k,n , calculate the comprehensive value of power consumption of riot control equipment during the kth operation under the i-th task type, the calculation formula is as follows:

[0063]

[0064] Among them, E i,k It represents the comprehensive value of power consumption of riot control equipment during the kth operation under the i-th task type;

[0065] The comprehensive value of energy consumption E based on the k-th operation of riot control equipment in the i-th task type i,k , construct a comprehensive matrix of power and energy consumption of explosion-proof equipment, as follows:

[0066]

[0067] Among them, E I,M It represents the comprehensive value of power consumption of riot control equipment during the Mth operation under the Ith task type, where I represents the total number of task types and M represents the total number of operations.

[0068] Step S4: Calculate the row difference value and column difference value in the comprehensive matrix of power consumption; calculate the coordinated discrete index of power consumption of riot control equipment when performing different task types; preset thresholds, analyze and perform charging monitoring management.

[0069] Specifically, based on the comprehensive matrix of electric power and energy consumption, the row difference value of the i-th row and the column difference value of the k-th column in the comprehensive matrix of electric power and energy consumption are calculated, and the calculation formula is as follows:

[0070]

[0071] Among them, D row,i Represents the row difference value of the i-th row in the comprehensive matrix of power and energy consumption, represents the comprehensive mean value of the power and energy consumption in row i of the comprehensive power and energy consumption matrix, D col,k Represents the column difference value of the kth column in the comprehensive matrix of power and energy consumption, Represents the comprehensive mean value of the power and energy consumption in the kth column of the comprehensive power and energy consumption matrix;

[0072] Furthermore, based on the row difference value D of the i-th row in the comprehensive matrix of power consumption row,i and the column difference value D of the kth column col,k , calculate the energy consumption coordination discrete index of riot control equipment when performing different task types. The calculation formula is as follows:

[0073]

[0074] Among them, PCI com It represents the discrete index of energy consumption coordination between riot control equipment when performing different types of tasks, and α represents the preset weight coefficient;

[0075] Furthermore, the power consumption collaborative discrete index threshold is preset. If the power consumption collaborative discrete index PCI com If the value is greater than or equal to the discrete indicator threshold of power consumption coordination, it is determined that the power consumption of the riot control equipment varies greatly when performing different task types, and the charging redundancy is increased or the charging interval is shortened, and a maintenance reminder is sent;

[0076] If the power consumption and discrete index PCI com If the power consumption is less than the discrete indicator threshold of the power consumption coordination, it is determined that the power consumption of the riot control equipment is stable when performing different task types, and the current charging strategy is maintained.

[0077] In the present invention, this indicator uses a preset weight coefficient α to perform a weighted summation of the row difference value and the column difference value. The row difference value reflects the energy consumption fluctuations of multiple runs within a task, and the column difference value reflects the energy consumption consistency of the same run batch under different tasks. The weighted combination of the two can more comprehensively reflect the global stability of the power consumption of explosion-proof equipment under different task types. PCI com As a key indicator to judge the difference in power consumption of explosion-proof equipment when performing different types of tasks. com When the value is greater than or equal to the preset threshold, it indicates that the difference in power consumption is large and the charging strategy needs to be adjusted, such as increasing charging redundancy or shortening charging intervals, and sending maintenance reminders to ensure stable power supply for the device under different tasks; when PCI com When the value is below the threshold, energy consumption is stable and the current charging strategy can be maintained to avoid overcharging or unnecessary maintenance, thereby improving system efficiency and energy utilization. For example, in complex industrial production environments, this indicator can be used to promptly detect abnormal energy consumption in equipment, allowing for appropriate adjustments to charging plans and ensuring that explosion-proof equipment is always available.

[0078] See also Figure 2In the second embodiment, an intelligent monitoring system for charging explosion-proof equipment based on the Internet of Things is provided, which includes a data acquisition module, a coordinate system construction and line segment division module, an energy consumption calculation and matrix construction module, and an index calculation and analysis module.

[0079] The data collection module collects the operating time, task type and power consumption data of the explosion-proof equipment based on the Internet of Things terminal; divides the operating time into several operating time segments and constructs an operating time segment set;

[0080] The coordinate system construction and line segment division module: constructs the duration-power consumption coordinate system and fluctuation curve of the riot control equipment during a single operation; divides the fluctuation curve into a number of fluctuation curve segments according to the operation duration segment;

[0081] The energy consumption calculation and matrix construction module: based on the fluctuation curve segment, calculates the power energy consumption of the riot control equipment within a single fluctuation curve segment; based on the power energy consumption, calculates the comprehensive power energy consumption value of the riot control equipment; and constructs a comprehensive power energy consumption matrix of the explosion-proof equipment;

[0082] The indicator calculation and analysis module: calculates the row difference value and column difference value in the power energy consumption comprehensive matrix; calculates the power energy consumption coordinated discrete index between the riot control equipment performing different task types; presets thresholds, analyzes and performs charging monitoring management.

[0083] Furthermore, the data acquisition module includes a data acquisition unit;

[0084] The data collection unit: based on the Internet of Things terminal, collects the operation status data packet of the riot-proof equipment, wherein the operation status data packet includes the operation time, task type and power consumption data of the riot-proof equipment during a single operation, wherein one operation corresponds to one task type; evenly divides the operation time of the kth operation of the riot-proof equipment under the i-th task type into N operation time segments, obtains the power consumption data of the riot-proof equipment in each operation time segment; and constructs an operation time segment set.

[0085] Furthermore, the coordinate system construction and line segment division module includes a coordinate system construction unit and a line segment division unit;

[0086] The coordinate system construction unit is configured to construct a time-power consumption coordinate system for the kth operation of the riot control equipment when performing the i-th task type, wherein the abscissa of the time-power consumption coordinate system is the N operation time segments of the riot control equipment during a single operation, and the ordinate of the time-power consumption coordinate system is the power consumption data corresponding to the riot control equipment in each operation time segment;

[0087] The line segment division unit sequentially connects all coordinate points in the duration-power consumption coordinate system to construct a duration-power consumption fluctuation curve, and divides the duration-power consumption fluctuation curve into N-1 fluctuation curve segments according to the operation duration segment.

[0088] Furthermore, the energy consumption calculation and matrix construction module includes an energy consumption calculation unit and a matrix construction unit;

[0089] The energy consumption calculation unit calculates the power consumption of the riot control equipment within a single fluctuation curve segment based on the fluctuation curve segment; and calculates the comprehensive power consumption value of the riot control equipment during the kth operation when performing the i-th task type based on the power consumption;

[0090] The matrix construction unit is configured to construct a comprehensive matrix of power consumption of explosion-proof equipment based on the comprehensive power consumption value of the explosion-proof equipment during the k-th operation when performing the i-th task type.

[0091] Furthermore, the index calculation and analysis module includes an index calculation unit and an analysis unit;

[0092] The index calculation unit: based on the power and energy consumption comprehensive matrix, calculates the row difference value of the i-th row and the column difference value of the k-th column in the power and energy consumption comprehensive matrix; based on the row difference value of the i-th row and the column difference value of the k-th column in the power and energy consumption comprehensive matrix, calculates the power and energy consumption coordination discrete index between the riot control equipment performing different task types;

[0093] The analysis unit: presets a power-energy consumption collaborative discrete indicator threshold value. If the power-energy consumption collaborative discrete indicator is greater than or equal to the power-energy consumption collaborative discrete indicator threshold value, it is determined that the power consumption of the riot control equipment when performing different task types varies greatly, and the charging redundancy is increased or the charging interval is shortened, and a maintenance reminder is sent; if the power-energy consumption collaborative discrete indicator is less than the power-energy consumption collaborative discrete indicator threshold value, it is determined that the power consumption of the riot control equipment when performing different task types is stable, and the current charging strategy is maintained.

[0094] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0095] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. An intelligent monitoring method for charging explosion-proof equipment based on the Internet of Things, characterized in that: The method comprises the following steps: Step S1: Based on the IoT terminal, collect the operating time, task type and power consumption data of the explosion-proof equipment; evenly divide the operating time into several operating time segments, and construct an operating time segment set; Step S2: Constructing a time-power consumption coordinate system and a fluctuation curve of the riot control equipment during a single operation; dividing the fluctuation curve into a number of fluctuation curve segments according to the operation time segment; Step S3: Based on the fluctuation curve segment, calculating the power consumption of the riot control equipment within a single fluctuation curve segment; based on the power consumption, calculating the comprehensive power consumption value of the riot control equipment; and constructing a comprehensive power consumption matrix of the explosion-proof equipment; Step S4: Calculate the row difference value and column difference value in the comprehensive matrix of power consumption; calculate the coordinated discrete index of power consumption of riot control equipment when performing different task types; preset thresholds, analyze and perform charging monitoring management.

2. The method for intelligent monitoring charging of explosion-proof equipment based on the Internet of Things according to claim 1 is characterized in that: The specific implementation process of step S1 includes: Based on the Internet of Things terminal, the operation status data packet of the explosion-proof equipment is collected. The operation status data packet includes the operation time, task type and power consumption data of the explosion-proof equipment during a single operation, wherein one operation corresponds to one task type; the operation time of the explosion-proof equipment during the kth operation under the i-th task type is evenly divided into N operation time segments, and the power consumption data of the explosion-proof equipment in each operation time segment is obtained; Construct a set of running time segments, and record the running time segment set of the riot control equipment for the kth time under the execution of the i-th task type as RST i,k ={RS i,k,n |n∈[1,N]}, where RS i,k,m Indicates the nth runtime segment, and N indicates the total number of runtime segments.

3. The method for intelligent monitoring charging of explosion-proof equipment based on the Internet of Things according to claim 2 is characterized in that: The specific implementation process of step S2 includes: Construct a time-power consumption coordinate system for the kth operation of the riot control equipment under the i-th task type. The horizontal axis of the time-power consumption coordinate system is the N operation time segments of the riot control equipment during a single operation, and the vertical axis of the time-power consumption coordinate system is the power consumption data corresponding to the riot control equipment in each operation time segment. Set the nth running time segment RS i,k,n The corresponding power consumption data is recorded as PC(RS i,k,n ); connect all the coordinate points in the duration-power consumption coordinate system in sequence to construct a duration-power consumption fluctuation curve, and divide the duration-power consumption fluctuation curve into N-1 fluctuation curve segments according to the running duration segment.

4. The method for intelligent monitoring charging of explosion-proof equipment based on the Internet of Things according to claim 3 is characterized in that: The specific implementation process of step S3 includes: Based on the fluctuation curve segment, the power consumption of the riot control equipment in a single fluctuation curve segment is calculated using the following formula: Among them, E i,k,n Indicates the duration of the riot control equipment in operation RS i,k,n-1 To the running length RS i,k,n The energy consumption within the fluctuation curve segment formed between PC(RS i,k,n-1 ) represents the n-1th running time segment RS i,k,n Corresponding power consumption data, RS i,k,n-1 Indicates the n-1th running time segment; Based on the energy consumption E i,k,n , calculate the comprehensive value of power consumption of riot control equipment during the kth operation under the i-th task type, the calculation formula is as follows: Among them, E i,k It represents the comprehensive value of power consumption of riot control equipment during the kth operation under the i-th task type; The comprehensive value of energy consumption E based on the k-th operation of riot control equipment in the i-th task type i,k , construct a comprehensive matrix of power and energy consumption of explosion-proof equipment, as follows: Among them, E I,M It represents the comprehensive value of power consumption of riot control equipment during the Mth operation under the Ith task type, where I represents the total number of task types and M represents the total number of operations.

5. The method for intelligent monitoring charging of explosion-proof equipment based on the Internet of Things according to claim 4 is characterized in that: The specific implementation process of step S4 includes: Based on the comprehensive matrix of electric power and energy consumption, the row difference value of the i-th row and the column difference value of the k-th column in the comprehensive matrix of electric power and energy consumption are calculated. The calculation formula is as follows: Among them, D row,i Represents the row difference value of the i-th row in the comprehensive matrix of power and energy consumption, represents the comprehensive mean value of the power and energy consumption in row i of the comprehensive power and energy consumption matrix, D col,k Represents the column difference value of the kth column in the comprehensive matrix of power and energy consumption, Represents the comprehensive mean value of the power and energy consumption in the kth column of the comprehensive power and energy consumption matrix; Based on the row difference value D of the i-th row in the comprehensive matrix of power and energy consumption row,i and the column difference value D of the kth column col,k , calculate the energy consumption coordination discrete index of riot control equipment when performing different task types. The calculation formula is as follows: Among them, PCI com It represents the discrete index of energy consumption coordination between riot control equipment when performing different types of tasks, and α represents the preset weight coefficient; Preset power consumption collaborative discrete indicator threshold, if power consumption collaborative discrete indicator PCI com If the value is greater than or equal to the discrete indicator threshold of power consumption coordination, it is determined that the power consumption of the riot control equipment varies greatly when performing different task types, and the charging redundancy is increased or the charging interval is shortened, and a maintenance reminder is sent; If the power consumption and discrete index PCI com If the power consumption is less than the discrete indicator threshold of the power consumption coordination, it is determined that the power consumption of the riot control equipment is stable when performing different task types, and the current charging strategy is maintained.

6. An intelligent monitoring system for charging explosion-proof equipment based on the Internet of Things, which executes an intelligent monitoring method for charging explosion-proof equipment based on the Internet of Things as described in any one of claims 1 to 5, characterized in that: The system includes: a data acquisition module, a coordinate system construction and line segment division module, an energy consumption calculation and matrix construction module, and an index calculation and analysis module; The data collection module collects the operating time, task type and power consumption data of the explosion-proof equipment based on the Internet of Things terminal; divides the operating time into several operating time segments and constructs an operating time segment set; The coordinate system construction and line segment division module: constructs the duration-power consumption coordinate system and fluctuation curve of the riot control equipment during a single operation; divides the fluctuation curve into a number of fluctuation curve segments according to the operation duration segment; The energy consumption calculation and matrix construction module: based on the fluctuation curve segment, calculates the power energy consumption of the riot control equipment within a single fluctuation curve segment; based on the power energy consumption, calculates the comprehensive power energy consumption value of the riot control equipment; and constructs a comprehensive power energy consumption matrix of the explosion-proof equipment; The indicator calculation and analysis module: calculates the row difference value and column difference value in the power energy consumption comprehensive matrix; calculates the power energy consumption coordinated discrete index between the riot control equipment performing different task types; presets thresholds, analyzes and performs charging monitoring management.

7. The explosion-proof equipment charging intelligent monitoring system based on the Internet of Things according to claim 6 is characterized by: The data acquisition module includes a data acquisition unit; The data collection unit: based on the Internet of Things terminal, collects the operation status data packet of the riot-proof equipment, wherein the operation status data packet includes the operation time, task type and power consumption data of the riot-proof equipment during a single operation, wherein one operation corresponds to one task type; evenly divides the operation time of the kth operation of the riot-proof equipment under the i-th task type into N operation time segments, obtains the power consumption data of the riot-proof equipment in each operation time segment; and constructs an operation time segment set.

8. The explosion-proof equipment charging intelligent monitoring system based on the Internet of Things according to claim 7 is characterized by: The coordinate system construction and line segment division module includes a coordinate system construction unit and a line segment division unit; The coordinate system construction unit is configured to construct a time-power consumption coordinate system for the kth operation of the riot control equipment when performing the i-th task type, wherein the abscissa of the time-power consumption coordinate system is the N operation time segments of the riot control equipment during a single operation, and the ordinate of the time-power consumption coordinate system is the power consumption data corresponding to the riot control equipment in each operation time segment; The line segment division unit sequentially connects all coordinate points in the duration-power consumption coordinate system to construct a duration-power consumption fluctuation curve, and divides the duration-power consumption fluctuation curve into N-1 fluctuation curve segments according to the operation duration segment.

9. The IoT-based explosion-proof equipment charging intelligent monitoring system according to claim 8, characterized in that: The energy consumption calculation and matrix construction module includes an energy consumption calculation unit and a matrix construction unit; The energy consumption calculation unit calculates the power consumption of the riot control equipment within a single fluctuation curve segment based on the fluctuation curve segment; Based on the power consumption, calculate the comprehensive power consumption value of the riot control equipment during the k-th operation under the i-th task type; The matrix construction unit is configured to construct a comprehensive matrix of power consumption of explosion-proof equipment based on the comprehensive power consumption value of the explosion-proof equipment during the k-th operation when performing the i-th task type.

10. The explosion-proof equipment charging intelligent monitoring system based on the Internet of Things according to claim 9, characterized in that: The index calculation and analysis module includes an index calculation unit and an analysis unit; The indicator calculation unit calculates the row difference value of the i-th row and the column difference value of the k-th column in the comprehensive matrix of electric power and energy consumption based on the comprehensive matrix of electric power and energy consumption; Based on the row difference value of the i-th row and the column difference value of the k-th column in the comprehensive power and energy consumption matrix, the power and energy consumption coordination discrete index of riot control equipment when performing different task types is calculated; The analysis unit: presets a power-energy consumption collaborative discrete indicator threshold value. If the power-energy consumption collaborative discrete indicator is greater than or equal to the power-energy consumption collaborative discrete indicator threshold value, it is determined that the power consumption of the riot control equipment when performing different task types varies greatly, and the charging redundancy is increased or the charging interval is shortened, and a maintenance reminder is sent; if the power-energy consumption collaborative discrete indicator is less than the power-energy consumption collaborative discrete indicator threshold value, it is determined that the power consumption of the riot control equipment when performing different task types is stable, and the current charging strategy is maintained.

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