Temporary electricity utilization intelligent management system and method

Abstract

The invention relates to the technical field of power equipment management, and particularly discloses an intelligent management system and method for temporary power utilization. Comprising a temporary electric equipment parameter acquisition module, a temporary electric equipment operation state module, an equipment operation performance state analysis module, a temporary electric equipment operation electromagnetic radiation monitoring module, a temporary electric equipment operation intelligent analysis module, a temporary electric equipment early warning terminal and a cloud database. The operation state coefficient of the temporary electric equipment is intelligently analyzed through the temporary electric equipment operation intelligent analysis module, operation signals of the temporary electric equipment are obtained, and finally targeted early warning operation is performed through the temporary electric equipment early warning terminal according to different operation signals, so that safe operation and efficient management of the temporary electric equipment are ensured, and the safety of the temporary electric equipment is ensured. The comprehensive monitoring and early warning of the operation state of temporary electric equipment are realized, and the safety of electricity utilization, energy conservation and emission reduction are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment management, and in particular to an intelligent management system and method for temporary power consumption. Background Art

[0002] With the development of social economy, temporary power equipment is increasingly used. For example, emergency rescue, special activities, field construction and other scenarios all require temporary power equipment to provide power support. However, the existing temporary power equipment management model mostly relies on manual monitoring, which is inefficient and has safety hazards. For example: Lack of real-time monitoring of operating status: Manual inspections make it difficult to grasp the operating status of temporary power equipment in real time, resulting in difficulty in early detection of equipment failures and failure to take timely measures to avoid greater losses.

[0003] Difficulty in assessing safety risks: There is currently a lack of scientific assessment methods for electromagnetic radiation from temporary electrical equipment, which makes it difficult to identify and control safety hazards and creates a potential risk of electromagnetic pollution.

[0004] Lack of accurate management plans: The traditional management model lacks scientific data analysis and evaluation, making it difficult to formulate accurate equipment use and maintenance plans, resulting in waste of resources and inefficient operation.

[0005] In order to solve these problems, it is urgent to develop an intelligent and efficient temporary power equipment management system to achieve comprehensive monitoring and early warning of the operating status of temporary power equipment, ensure power safety and energy conservation and emission reduction. Summary of the invention

[0006] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a temporary electricity intelligent management system and method to solve the above-mentioned technical defects.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a temporary power consumption intelligent management system, including a temporary power consumption equipment parameter acquisition module, a temporary power consumption equipment operation status module, an equipment operation performance status analysis module, a temporary power consumption equipment operation electromagnetic radiation monitoring module, a temporary power consumption equipment operation intelligent analysis module, a temporary power consumption equipment early warning terminal, and a cloud database; The temporary power equipment parameter acquisition module is used to monitor and acquire the status parameters of each temporary power equipment corresponding to each monitoring period in real time, and obtain the status parameters of each temporary power equipment corresponding to each monitoring period; The temporary power equipment operation status module is used to calculate and analyze the operation parameters of each temporary power equipment corresponding to each monitoring period, and obtain the equipment comprehensive operation coefficient of each temporary power equipment corresponding to each monitoring period; The equipment operation performance status analysis module is used to calculate and analyze the environmental parameters of each temporary power-consuming equipment corresponding to each monitoring period, and obtain the equipment performance status coefficient of each temporary power-consuming equipment corresponding to each monitoring period; The electromagnetic radiation monitoring module for temporary power equipment operation is used to calculate and analyze the electromagnetic parameters of each temporary power equipment corresponding to each monitoring period, and obtain the electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period; The intelligent analysis module for temporary power equipment operation is used to compare and analyze the equipment comprehensive operation coefficient, equipment performance status coefficient and electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period, and obtain the management and control signal of each temporary power equipment corresponding to each monitoring period; The temporary power equipment early warning terminal is used to perform corresponding early warning operations on the operating status signals, operating performance signals and electromagnetic radiation impact signals of each temporary power equipment during the monitoring period, and perform corresponding management operations according to different early warning signals; The cloud database is used to store the operating parameters, environmental parameters, electromagnetic parameters and corresponding standard values ​​of each temporary power-consuming equipment corresponding to each monitoring period.

[0008] Furthermore, the specific real-time monitoring acquisition method of the state parameters is as follows: The current, voltage and power data of each temporary power consumption device corresponding to each monitoring period are monitored and acquired in real time by means of smart meters installed on each temporary power consumption device, so as to obtain the current, voltage and power data of each temporary power consumption device corresponding to each monitoring period, and the operating parameters of each temporary power consumption device corresponding to each monitoring period are formed by the current, voltage and power data of each temporary power consumption device corresponding to each monitoring period; The temperature and humidity data of each temporary power consumption device corresponding to each monitoring period are monitored and acquired in real time by installing temperature and humidity sensors on each temporary power consumption device, so as to obtain the temperature and humidity data of each temporary power consumption device corresponding to each monitoring period; By installing dust sensors on each temporary power user, real-time monitoring and acquisition of dust concentration data of each temporary power user corresponding to each monitoring period are performed to obtain dust concentration data of each temporary power user corresponding to each monitoring period. The temperature, humidity and dust concentration data of each temporary power user corresponding to each monitoring period constitute the environmental parameters of each temporary power user corresponding to each monitoring period. By installing electromagnetic radiation monitors around each temporary power equipment, the electric field strength and magnetic field strength of each temporary power equipment corresponding to each monitoring period are monitored and acquired in real time, and the electric field strength and magnetic field strength data of each temporary power equipment corresponding to each monitoring period are obtained. The electromagnetic parameters of each temporary power equipment corresponding to each monitoring period are composed of the electric field strength and magnetic field strength of each temporary power equipment corresponding to each monitoring period; The state parameters of each temporary power equipment corresponding to each monitoring period are jointly composed of the operating parameters, environmental parameters and electromagnetic parameters of each temporary power equipment corresponding to each monitoring period.

[0009] Furthermore, the operation parameters of each temporary power-consuming device corresponding to each monitoring period are calculated and analyzed, and the specific calculation and analysis method is as follows: Extracting the current, voltage and power data of each temporary power device corresponding to each monitoring period from the operating parameters of each temporary power device corresponding to each monitoring period, and obtaining the current, voltage and power data of each temporary power device corresponding to each monitoring period; Obtain several monitoring time points from each temporary power-consuming device corresponding to each monitoring period, and obtain the current, voltage and power data of each temporary power-consuming device at each monitoring time point in each monitoring period, which are respectively recorded as I i , U i and P i , i represents the number of each monitoring time point, i=1,2,…,n, n represents the total number of monitoring time point numbers; According to the formula Calculate the current fluctuation coefficient of each temporary power equipment corresponding to each monitoring period , Indicates the average current value of each temporary power-consuming equipment corresponding to each monitoring period; Similarly, the voltage fluctuation coefficient and power fluctuation coefficient of each temporary power equipment corresponding to each monitoring period are calculated and recorded as and ; According to the formula Calculate the comprehensive operation coefficient of each temporary power equipment corresponding to each monitoring period , represents the rated power of each temporary power-consuming equipment, and α1, α2, α3, and α4 represent the corresponding set weight factors respectively.

[0010] Furthermore, the environmental parameters of each temporary power-consuming device corresponding to each monitoring period are calculated and analyzed, and the specific calculation and analysis method is as follows: The temperature value, humidity value and dust concentration value of each temporary power equipment corresponding to each monitoring period are extracted from the environmental parameters of each temporary power equipment corresponding to each monitoring period, and the temperature value, humidity value and dust concentration value of each temporary power equipment corresponding to each monitoring period are obtained, which are recorded as T j , H j and D j , j represents the number of each monitoring period, j=1,2,…,m, m represents the total number of numbers of each monitoring period; Obtain the median values ​​of the temperature standard value, humidity standard value, and dust concentration standard value of each temporary power-consuming equipment corresponding to each monitoring period from the cloud database, and record them as T0, H0, and D0 respectively; According to the formula Calculate the equipment performance status coefficient of each temporary power equipment corresponding to each monitoring period , β1, β2, and β3 represent the corresponding weight factors, β1+β2+β3=1.

[0011] Furthermore, the electromagnetic parameters of each temporary power-consuming device corresponding to each monitoring period are calculated and analyzed, and the specific calculation and analysis method is as follows: The electromagnetic intensity and magnetic field intensity of each temporary power equipment corresponding to each monitoring period are extracted from the electromagnetic parameters of each temporary power equipment corresponding to each monitoring period, and the electromagnetic intensity and magnetic field intensity of each temporary power equipment corresponding to each monitoring period are obtained, which are recorded as E j and C j ; At the same time, obtain the monitoring distance between each temporary power-consuming equipment and the electromagnetic radiation monitor, recorded as d; According to the formula Calculate the electromagnetic radiation impact coefficient of each temporary electrical equipment corresponding to each monitoring period , Ω1, Ω2, and Ω3 represent the corresponding weight factors, Ω1+Ω2+Ω3=1.

[0012] Furthermore, the equipment comprehensive operation coefficient, equipment performance status coefficient and electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period are compared and analyzed. The specific comparative analysis method is as follows: Obtain the equipment comprehensive operation coefficient limit values ​​set for each temporary power-consuming equipment in each monitoring period from the cloud database, which are recorded as k1 and k2 respectively, and k2<k1<1; Compare the equipment comprehensive operation coefficient of each temporary power equipment corresponding to each monitoring period with the set equipment comprehensive operation coefficient limit value. =1, it indicates that the operation status of each temporary power-consuming device is good, and the operation health signal of each temporary power-consuming device corresponding to the monitoring period is generated; If k1< <1, it indicates that the operation status of each temporary power-consuming device is normal, and a normal operation signal of each temporary power-consuming device corresponding to the monitoring period is generated; If k2< <k1, it means that there is a load on the operation of each temporary power-consuming device, and an operation optimization signal for each temporary power-consuming device corresponding to the monitoring period is generated; like <k2, it means that there is a fault in the operation of each temporary power-consuming device, and an operation fault signal of each temporary power-consuming device corresponding to the monitoring period is generated; The operation status signal of each temporary power-consuming device corresponding to the monitoring period is composed of the operation health signal, normal operation signal, operation optimization signal and operation fault signal of each temporary power-consuming device corresponding to the monitoring period; Obtain the equipment performance status coefficient limit value set for each temporary power-consuming equipment in each monitoring period from the cloud database, recorded as h1, and h1<1; Compare the equipment performance status coefficient of each temporary power-consuming equipment corresponding to each monitoring period with the set equipment performance status coefficient limit value. =1, it indicates that the operating performance of each temporary power-consuming device is good, and a stable operating performance signal of each temporary power-consuming device corresponding to the monitoring period is generated; If h1< <1, it indicates that the operating performance of each temporary power-consuming device is normal, and an operating performance deviation signal of each temporary power-consuming device corresponding to the monitoring period is generated; like The operation performance signal of each temporary power-consuming device corresponding to the monitoring period is composed of the operation performance stability signal, the operation performance deviation signal and the operation performance failure signal of each temporary power-consuming device corresponding to the monitoring period; Obtain the electromagnetic radiation influence coefficient limit values ​​set for each temporary power-consuming equipment in each monitoring period from the cloud database, which are recorded as g1 and g2 respectively, and g1<g2; Compare the electromagnetic radiation impact coefficient of each temporary electrical equipment corresponding to each monitoring period with the set electromagnetic radiation impact coefficient limit value. <g1, it means that the electromagnetic radiation impact of each temporary power-consuming device is low, and a low-impact signal of magnetic field radiation of each temporary power-consuming device corresponding to the monitoring period is generated; If g1< <g2, it means that the electromagnetic radiation impact of each temporary power-consuming device is medium, and a medium impact signal of magnetic field radiation of each temporary power-consuming device corresponding to the monitoring period is generated; If g2< , it means that the electromagnetic radiation impact of each temporary power-consuming equipment is high, and a high impact signal of magnetic field radiation of each temporary power-consuming equipment corresponding to the monitoring period is generated; The electromagnetic radiation impact signal of each temporary power equipment corresponding to the monitoring period is composed of the low impact signal of the magnetic field radiation, the medium impact signal of the magnetic field radiation and the high impact signal of the magnetic field radiation of each temporary power equipment corresponding to the monitoring period; ​The management and control signals of each temporary power-consuming equipment corresponding to the monitoring period are composed of the operation status signals, operation performance signals and electromagnetic radiation impact signals of each temporary power-consuming equipment corresponding to the monitoring period.

[0013] Furthermore, a management method of a temporary power intelligent management system comprises the following steps: Step 1: Real-time monitoring and acquisition of status parameters of each temporary power-consuming device corresponding to each monitoring period to obtain status parameters of each temporary power-consuming device corresponding to each monitoring period, wherein the status parameters of each temporary power-consuming device corresponding to each monitoring period are composed of operating parameters, environmental parameters and electromagnetic parameters of each temporary power-consuming device corresponding to each monitoring period; Step 2: Calculate and analyze the operating parameters of each temporary power-consuming equipment corresponding to each monitoring period to obtain the equipment comprehensive operating coefficient of each temporary power-consuming equipment corresponding to each monitoring period; Step 3: Calculate and analyze the environmental parameters of each temporary power-consuming equipment corresponding to each monitoring period to obtain the equipment performance status coefficient of each temporary power-consuming equipment corresponding to each monitoring period; Step 4: Calculate and analyze the electromagnetic parameters of each temporary power equipment corresponding to each monitoring period to obtain the electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period; Step 5: Compare and analyze the equipment comprehensive operation coefficient, equipment performance status coefficient and electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period, and obtain the management and control signal of each temporary power equipment corresponding to each monitoring period, wherein the management and control signal of each temporary power equipment corresponding to the monitoring period is composed of the operation status signal, operation performance signal and electromagnetic radiation influence signal of each temporary power equipment corresponding to the monitoring period; Step 6: Perform corresponding early warning operations on the operating status signals, operating performance signals and electromagnetic radiation impact signals of each temporary power-consuming equipment during the monitoring period, and perform corresponding management operations according to different early warning signals.

[0014] Beneficial effects of the present invention: 1. The operating parameters, environmental parameters and electromagnetic parameters of temporary power equipment during operation are acquired in real time through the temporary power equipment parameter acquisition module. Then, the operating parameters, environmental parameters and electromagnetic parameters are specifically analyzed and calculated through the temporary power equipment operation status module, the equipment operation performance status analysis module and the temporary power equipment operation electromagnetic radiation monitoring module, so as to obtain the operating status coefficient for evaluating the temporary power equipment. Then, the operating status coefficient of the temporary power equipment is intelligently analyzed through the temporary power equipment operation intelligent analysis module to obtain the operating signal of the temporary power equipment. Finally, the temporary power equipment early warning terminal is used to perform targeted early warning operations according to different operating signals to ensure the safe operation and efficient management of temporary power equipment, realize comprehensive monitoring and early warning of the operating status of temporary power equipment, and ensure power safety and energy conservation and emission reduction.

[0015] 2. By obtaining the current, voltage and power data from each electrical equipment during the monitoring period, first extract and calculate the specific values ​​of current, voltage and power in each time period, then select several specific time points from these time periods, and record the current, voltage and power data at these time points respectively. Based on these data, further calculate the fluctuation coefficients of current, voltage and power of each electrical equipment in each monitoring period, which respectively reflect the stability and changes of these parameters in the current period. Through the above analysis, calculate the comprehensive equipment operation coefficient of each electrical equipment in each monitoring period. This coefficient comprehensively considers factors such as power utilization rate, voltage fluctuation amplitude, power variation range and rated power of each equipment. This process enables managers to fully understand the actual operating status and efficiency of each electrical equipment in different monitoring periods, thereby providing a scientific basis for optimizing power management and equipment maintenance.

[0016] 3. The equipment operation performance status analysis module can be used to monitor the environmental parameters of each temporary power equipment in different monitoring periods in real time, and various data including temperature, humidity and dust concentration values ​​can be obtained. At the same time, the median of the temperature standard value, humidity standard value and dust concentration standard value corresponding to these time periods can be obtained from the cloud database. Based on these data, a specific calculation formula combined with coefficients assigned different weights can be used to effectively evaluate the equipment performance status of each temporary power equipment in different monitoring periods, thereby realizing accurate monitoring and analysis of the operating conditions of these equipment, providing an important reference for improving equipment operation efficiency and maintenance.

[0017] 4. Through accurate calculation and analysis of the electromagnetic parameters of each temporary electrical equipment in different monitoring periods, and considering the monitoring distance between each electrical equipment and the electromagnetic radiation monitor, on this basis, the electromagnetic radiation influence coefficient of each temporary electrical equipment in each monitoring period is calculated according to a specific weighting factor. By comprehensively considering the electromagnetic intensity, magnetic field intensity and distance factors, it is possible to scientifically quantify and evaluate the electromagnetic radiation impact of each temporary electrical equipment corresponding to each monitoring period, thereby providing strong data support for safety management and ensuring the safety and stability of the electromagnetic environment.

[0018] 5. By accurately calculating and analyzing the electromagnetic intensity and magnetic field intensity of each temporary power equipment in different monitoring periods, and combining the monitoring distance between it and the electromagnetic radiation monitor, the electromagnetic radiation influence coefficient of each temporary power equipment in each monitoring period is calculated according to a specific weighting factor. This can scientifically and quantitatively evaluate the electromagnetic radiation impact of each temporary power equipment corresponding to each monitoring period, provide strong data support for safety management, and ensure the safety and stability of the electromagnetic environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] Figure 1 The present invention is a block diagram of a temporary power intelligent management system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0022] As shown in the present invention and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list, and the method or device may also include other steps or elements.

[0023] Although the present invention has made various references to certain modules in the system according to an embodiment of the present invention, any number of different modules can be used and run on a user terminal and / or server. The modules are only illustrative, and different aspects of the system and method can use different modules.

[0024] The present invention uses a flow chart to illustrate the operations performed by the system according to an embodiment of the present invention. It should be understood that the preceding or following operations are not necessarily performed precisely in order. On the contrary, various steps may be processed in reverse order or simultaneously as required. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0025] Below, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described here.

[0026] Example 1: Please refer to Figure 1 As shown, a temporary power consumption intelligent management system includes: a temporary power consumption equipment parameter acquisition module, a temporary power consumption equipment operation status module, an equipment operation performance status analysis module, a temporary power consumption equipment operation electromagnetic radiation monitoring module, a temporary power consumption equipment operation intelligent analysis module, a temporary power consumption equipment early warning terminal, and a cloud database.

[0027] It should be noted that the operating parameters, environmental parameters and electromagnetic parameters of temporary power equipment during operation are acquired in real time through the temporary power equipment parameter acquisition module, and then the operating parameters, environmental parameters and electromagnetic parameters are specifically analyzed and calculated respectively through the temporary power equipment operation status module, the equipment operation performance status analysis module and the temporary power equipment operation electromagnetic radiation monitoring module, so as to obtain the operating status coefficient for evaluating the temporary power equipment, and then the operating status coefficient of the temporary power equipment is intelligently analyzed through the temporary power equipment operation intelligent analysis module to obtain the temporary power equipment operation signal, and finally the temporary power equipment early warning terminal performs targeted early warning operations according to different operation signals to ensure the safe operation and efficient management of temporary power equipment, realize comprehensive monitoring and early warning of the operating status of temporary power equipment, and ensure power safety and energy conservation and emission reduction.

[0028] The temporary power equipment parameter acquisition module is used to monitor and acquire the status parameters of each temporary power equipment corresponding to each monitoring period in real time, and obtain the status parameters of each temporary power equipment corresponding to each monitoring period. The specific real-time monitoring acquisition method of the status parameters is as follows: The current, voltage and power data of each temporary power consumption device corresponding to each monitoring period are monitored and acquired in real time by means of smart meters installed on each temporary power consumption device, so as to obtain the current, voltage and power data of each temporary power consumption device corresponding to each monitoring period, and the operating parameters of each temporary power consumption device corresponding to each monitoring period are formed by the current, voltage and power data of each temporary power consumption device corresponding to each monitoring period; The temperature and humidity data of each temporary power consumption device corresponding to each monitoring period are monitored and acquired in real time by installing temperature and humidity sensors on each temporary power consumption device, so as to obtain the temperature and humidity data of each temporary power consumption device corresponding to each monitoring period; By installing dust sensors on each temporary power user, real-time monitoring and acquisition of dust concentration data of each temporary power user corresponding to each monitoring period are performed to obtain dust concentration data of each temporary power user corresponding to each monitoring period. The temperature, humidity and dust concentration data of each temporary power user corresponding to each monitoring period constitute the environmental parameters of each temporary power user corresponding to each monitoring period. By installing electromagnetic radiation monitors around each temporary power equipment, the electric field strength and magnetic field strength of each temporary power equipment corresponding to each monitoring period are monitored and acquired in real time, and the electric field strength and magnetic field strength data of each temporary power equipment corresponding to each monitoring period are obtained. The electromagnetic parameters of each temporary power equipment corresponding to each monitoring period are composed of the electric field strength and magnetic field strength of each temporary power equipment corresponding to each monitoring period; The state parameters of each temporary power equipment corresponding to each monitoring period are jointly composed of the operating parameters, environmental parameters and electromagnetic parameters of each temporary power equipment corresponding to each monitoring period.

[0029] The temporary power equipment operation status module is used to calculate and analyze the operation parameters of each temporary power equipment corresponding to each monitoring period, and obtain the equipment comprehensive operation coefficient of each temporary power equipment corresponding to each monitoring period. The specific calculation and analysis method is as follows: Extracting the current, voltage and power data of each temporary power device corresponding to each monitoring period from the operating parameters of each temporary power device corresponding to each monitoring period, and obtaining the current, voltage and power data of each temporary power device corresponding to each monitoring period; Obtain several monitoring time points from each temporary power-consuming device corresponding to each monitoring period, and obtain the current, voltage and power data of each temporary power-consuming device at each monitoring time point in each monitoring period, which are respectively recorded as I i , U i and P i , i represents the number of each monitoring time point, i=1,2,…,n, n represents the total number of monitoring time point numbers; According to the formula Calculate the current fluctuation coefficient of each temporary power equipment corresponding to each monitoring period , Indicates the average current value of each temporary power-consuming equipment corresponding to each monitoring period; Similarly, the voltage fluctuation coefficient and power fluctuation coefficient of each temporary power equipment corresponding to each monitoring period are calculated and recorded as and ; According to the formula Calculate the comprehensive operation coefficient of each temporary power equipment corresponding to each monitoring period , represents the rated power of each temporary power-consuming equipment, and α1, α2, α3, and α4 represent the corresponding set weight factors respectively; specifically, α1=0.85, α2=1.25, α3=1.65, and α4=0.65.

[0030] It should be noted that the average current value of each temporary power device corresponding to each monitoring period is calculated by summing the current values ​​of each temporary power device corresponding to several monitoring time points in each monitoring period and dividing the sum by the total number of monitoring time points.

[0031] In a specific embodiment, the present invention obtains current, voltage and power data from each electrical device during the monitoring period, first extracts and calculates the specific values ​​of current, voltage and power in each time period, then selects several specific time points from these time periods, and records the current, voltage and power data at these time points respectively. Based on these data, the fluctuation coefficients of current, voltage and power of each electrical device in each monitoring period are further calculated, which respectively reflect the stability and changes of these parameters in the current period. Through the above analysis, the comprehensive equipment operation coefficient of each electrical device in each monitoring period is calculated. The coefficient comprehensively considers factors such as power utilization rate, voltage fluctuation amplitude, power variation range and rated power of each device. This process enables managers to fully understand the actual operating status and efficiency of each electrical device in different monitoring periods, thereby providing a scientific basis for optimizing power management and equipment maintenance.

[0032] The equipment operation performance status analysis module is used to calculate and analyze the environmental parameters of each temporary power-consuming equipment corresponding to each monitoring period, and obtain the equipment performance status coefficient of each temporary power-consuming equipment corresponding to each monitoring period. The specific calculation and analysis method is as follows: The temperature value, humidity value and dust concentration value of each temporary power equipment corresponding to each monitoring period are extracted from the environmental parameters of each temporary power equipment corresponding to each monitoring period, and the temperature value, humidity value and dust concentration value of each temporary power equipment corresponding to each monitoring period are obtained, which are recorded as T j , H j and D j , j represents the number of each monitoring period, j=1,2,…,m, m represents the total number of numbers of each monitoring period; Obtain the median values ​​of the temperature standard value, humidity standard value, and dust concentration standard value of each temporary power-consuming equipment corresponding to each monitoring period from the cloud database, and record them as T0, H0, and D0 respectively; According to the formula Calculate the equipment performance status coefficient of each temporary power equipment corresponding to each monitoring period , β1, β2, and β3 represent the corresponding weight factors, β1+β2+β3=1; specifically, β1=0.5, β2=0.2, and β3=0.3.

[0033] In a specific embodiment, the present invention uses an equipment operation performance status analysis module to perform real-time monitoring of the environmental parameters of each temporary electrical equipment in different monitoring periods, and can obtain various data including temperature values, humidity values, and dust concentration values. At the same time, the median values ​​of the temperature standard values, humidity standard values, and dust concentration standard values ​​corresponding to these time periods are obtained from the cloud database. Based on these data, a specific calculation formula combined with coefficients assigned different weights can be used to effectively evaluate the equipment performance status of each temporary electrical equipment in different monitoring periods, thereby achieving accurate monitoring and analysis of the operating conditions of these equipment, providing an important reference basis for improving equipment operating efficiency and maintenance.

[0034] The electromagnetic radiation monitoring module for temporary power equipment operation is used to calculate and analyze the electromagnetic parameters of each temporary power equipment corresponding to each monitoring period, and obtain the electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period. The specific calculation and analysis method is as follows: The electromagnetic intensity and magnetic field intensity of each temporary power equipment corresponding to each monitoring period are extracted from the electromagnetic parameters of each temporary power equipment corresponding to each monitoring period, and the electromagnetic intensity and magnetic field intensity of each temporary power equipment corresponding to each monitoring period are obtained, which are recorded as E j and C j ; At the same time, obtain the monitoring distance between each temporary power-consuming equipment and the electromagnetic radiation monitor, recorded as d; According to the formula Calculate the electromagnetic radiation impact coefficient of each temporary electrical equipment corresponding to each monitoring period , Ω1, Ω2, and Ω3 represent the corresponding weight factors, Ω1+Ω2+Ω3=1; specifically, Ω1=0.35, Ω2=0.35, Ω3=0.3.

[0035] In a specific embodiment, the present invention accurately calculates and analyzes the electromagnetic parameters of each temporary electrical equipment in different monitoring time periods, while considering the monitoring distance between each electrical equipment and the electromagnetic radiation monitor. On this basis, the electromagnetic radiation influence coefficient of each temporary electrical equipment in each monitoring time period is calculated according to a specific weighting factor, and the electromagnetic intensity, magnetic field intensity and distance factors are comprehensively considered. It is possible to scientifically quantify and evaluate the electromagnetic radiation influence of each temporary electrical equipment corresponding to each monitoring time period, thereby providing strong data support for safety management and ensuring the safety and stability of the electromagnetic environment.

[0036] The temporary power equipment operation intelligent analysis module is used to compare and analyze the equipment comprehensive operation coefficient, equipment performance status coefficient and electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period, and obtain the management and control signal of each temporary power equipment corresponding to each monitoring period. The specific comparative analysis method is as follows: Obtain the equipment comprehensive operation coefficient limit values ​​set for each temporary power-consuming equipment in each monitoring period from the cloud database, which are recorded as k1 and k2 respectively, and k2<k1<1; specifically, k1=0.7, k2=0.4; Compare the equipment comprehensive operation coefficient of each temporary power equipment corresponding to each monitoring period with the set equipment comprehensive operation coefficient limit value. =1, it indicates that the operation status of each temporary power-consuming device is good, and the operation health signal of each temporary power-consuming device corresponding to the monitoring period is generated; If k1< <1, it indicates that the operation status of each temporary power-consuming device is normal, and a normal operation signal of each temporary power-consuming device corresponding to the monitoring period is generated; If k2< <k1, it means that there is a load on the operation of each temporary power-consuming device, and an operation optimization signal for each temporary power-consuming device corresponding to the monitoring period is generated; like <k2, it means that there is a fault in the operation of each temporary power-consuming device, and an operation fault signal of each temporary power-consuming device corresponding to the monitoring period is generated; The operation status signal of each temporary power-consuming device corresponding to the monitoring period is composed of the operation health signal, normal operation signal, operation optimization signal and operation fault signal of each temporary power-consuming device corresponding to the monitoring period; Obtain the equipment performance status coefficient limit value set for each temporary power-consuming equipment in each monitoring period from the cloud database, recorded as h1, and h1<1; specifically expressed as: h1=0.5; Compare the equipment performance status coefficient of each temporary power-consuming equipment corresponding to each monitoring period with the set equipment performance status coefficient limit value. =1, it indicates that the operating performance of each temporary power-consuming device is good, and a stable operating performance signal of each temporary power-consuming device corresponding to the monitoring period is generated; If h1< <1, it indicates that the operating performance of each temporary power-consuming device is normal, and an operating performance deviation signal of each temporary power-consuming device corresponding to the monitoring period is generated; like ​The operation performance signal of each temporary power-consuming device corresponding to the monitoring period is composed of the operation performance stability signal, the operation performance deviation signal and the operation performance failure signal of each temporary power-consuming device corresponding to the monitoring period; Obtain the electromagnetic radiation influence coefficient limit values ​​set for each temporary power-consuming equipment in each monitoring period from the cloud database, which are recorded as g1 and g2 respectively, and g1 < g2; specifically, g1 = 0.2, g2 = 0.6; Compare the electromagnetic radiation impact coefficient of each temporary electrical equipment corresponding to each monitoring period with the set electromagnetic radiation impact coefficient limit value. <g1, it means that the electromagnetic radiation impact of each temporary power-consuming device is low, and a low-impact signal of magnetic field radiation of each temporary power-consuming device corresponding to the monitoring period is generated; If g1< <g2, it means that the electromagnetic radiation impact of each temporary power-consuming device is medium, and a medium impact signal of magnetic field radiation of each temporary power-consuming device corresponding to the monitoring period is generated; If g2< , it means that the electromagnetic radiation impact of each temporary power-consuming equipment is high, and a high impact signal of magnetic field radiation of each temporary power-consuming equipment corresponding to the monitoring period is generated; The electromagnetic radiation impact signal of each temporary power equipment corresponding to the monitoring period is composed of the low impact signal of the magnetic field radiation, the medium impact signal of the magnetic field radiation and the high impact signal of the magnetic field radiation of each temporary power equipment corresponding to the monitoring period; The management and control signals of each temporary power-consuming equipment corresponding to the monitoring period are composed of the operation status signals, operation performance signals and electromagnetic radiation impact signals of each temporary power-consuming equipment corresponding to the monitoring period.

[0037] In a specific embodiment, the present invention calculates the electromagnetic radiation influence coefficient of each temporary power device in each monitoring period according to a specific weighting factor by accurately calculating and analyzing the electromagnetic intensity and magnetic field intensity of each temporary power device in different monitoring periods, and combining the monitoring distance between the temporary power device and the electromagnetic radiation monitor, so as to scientifically and quantitatively evaluate the electromagnetic radiation influence of each temporary power device corresponding to each monitoring period, provide strong data support for safety management, and ensure the safety and stability of the electromagnetic environment; Furthermore, by accurately calculating and analyzing the electromagnetic parameters of each temporary power equipment in different monitoring periods, and comprehensively considering the monitoring distance between each power equipment and the electromagnetic radiation monitor, the electromagnetic radiation influence coefficient is calculated according to the specific weight factor, so as to scientifically and quantitatively evaluate the electromagnetic radiation influence of each temporary power equipment in each monitoring period, provide strong data support for safety management, and ensure the safety and stability of the electromagnetic environment. At the same time, by comparing and analyzing the comprehensive operation coefficient, equipment performance status coefficient and electromagnetic radiation influence coefficient of each temporary power equipment, it is possible to generate operation health signals, normal operation signals, operation optimization signals and operation fault signals, as well as operation performance stability signals, operation performance deviation signals and operation performance fault signals, as well as magnetic field radiation low impact signals, magnetic field radiation medium impact signals and magnetic field radiation high impact signals, so as to fully understand the operation status and performance of each temporary power equipment, timely discover and handle equipment failures, optimize equipment operation, and improve the operation efficiency of power equipment and the safety of the electromagnetic environment.

[0038] The temporary power equipment early warning terminal is used to perform corresponding early warning operations on the operating status signals, operating performance signals and electromagnetic radiation impact signals of each temporary power equipment during the monitoring period, and perform corresponding management operations according to different early warning signals.

[0039] The cloud database is used to store the operating parameters, environmental parameters, electromagnetic parameters and corresponding standard values ​​of each temporary power-consuming equipment corresponding to each monitoring period.

[0040] Embodiment 2: Specifically, this embodiment also discloses a management method for a temporary power consumption intelligent management system, comprising the following steps: Step 1: Real-time monitoring and acquisition of status parameters of each temporary power-consuming device corresponding to each monitoring period to obtain status parameters of each temporary power-consuming device corresponding to each monitoring period, wherein the status parameters of each temporary power-consuming device corresponding to each monitoring period are composed of operating parameters, environmental parameters and electromagnetic parameters of each temporary power-consuming device corresponding to each monitoring period; Step 2: Calculate and analyze the operating parameters of each temporary power-consuming equipment corresponding to each monitoring period to obtain the equipment comprehensive operating coefficient of each temporary power-consuming equipment corresponding to each monitoring period; Step 3: Calculate and analyze the environmental parameters of each temporary power-consuming equipment corresponding to each monitoring period to obtain the equipment performance status coefficient of each temporary power-consuming equipment corresponding to each monitoring period; Step 4: Calculate and analyze the electromagnetic parameters of each temporary power equipment corresponding to each monitoring period to obtain the electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period; Step 5: Compare and analyze the equipment comprehensive operation coefficient, equipment performance status coefficient and electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period, and obtain the management and control signal of each temporary power equipment corresponding to each monitoring period, wherein the management and control signal of each temporary power equipment corresponding to the monitoring period is composed of the operation status signal, operation performance signal and electromagnetic radiation influence signal of each temporary power equipment corresponding to the monitoring period; Step 6: Perform corresponding early warning operations on the operating status signals, operating performance signals and electromagnetic radiation impact signals of each temporary power-consuming equipment during the monitoring period, and perform corresponding management operations according to different early warning signals.

[0041] The above formulas are all dimensionless and numerical calculations. The formula is a formula that is obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The size of the coefficient is to quantify each parameter to obtain a specific value. Regarding the size of the coefficient, it is acceptable as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0042] In addition, those skilled in the art will appreciate that various aspects of the present invention may be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present invention may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may all be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present invention may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0043] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined as such herein.

[0044] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A temporary power intelligent management system, comprising a temporary power equipment parameter acquisition module, a temporary power equipment operation status module, an equipment operation performance status analysis module, a temporary power equipment operation electromagnetic radiation monitoring module, a temporary power equipment operation intelligent analysis module, a temporary power equipment early warning terminal, and a cloud database, characterized in that: The temporary power equipment parameter acquisition module is used to monitor and acquire the status parameters of each temporary power equipment corresponding to each monitoring period in real time, and obtain the status parameters of each temporary power equipment corresponding to each monitoring period; The temporary power equipment operation status module is used to calculate and analyze the operation parameters of each temporary power equipment corresponding to each monitoring period, and obtain the equipment comprehensive operation coefficient of each temporary power equipment corresponding to each monitoring period; The equipment operation performance status analysis module is used to calculate and analyze the environmental parameters of each temporary power-consuming equipment corresponding to each monitoring period, and obtain the equipment performance status coefficient of each temporary power-consuming equipment corresponding to each monitoring period; The electromagnetic radiation monitoring module for temporary power equipment operation is used to calculate and analyze the electromagnetic parameters of each temporary power equipment corresponding to each monitoring period, and obtain the electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period; The intelligent analysis module for temporary power equipment operation is used to compare and analyze the equipment comprehensive operation coefficient, equipment performance status coefficient and electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period, and obtain the management and control signal of each temporary power equipment corresponding to each monitoring period; The temporary power equipment early warning terminal is used to perform corresponding early warning operations on the operating status signals, operating performance signals and electromagnetic radiation impact signals of each temporary power equipment during the monitoring period, and perform corresponding management operations according to different early warning signals; The cloud database is used to store the operating parameters, environmental parameters, electromagnetic parameters and corresponding standard values ​​of each temporary power-consuming equipment corresponding to each monitoring period.

2. According to claim 1, the intelligent management system for temporary electricity consumption is characterized in that: The operating parameters of each temporary power-consuming device corresponding to each monitoring period are formed by the current, voltage and power data of each temporary power-consuming device corresponding to each monitoring period; The environmental parameters of each temporary power equipment corresponding to each monitoring period are composed of the temperature, humidity and dust concentration data of each temporary power equipment corresponding to each monitoring period; The electromagnetic parameters of each temporary power equipment corresponding to each monitoring period are composed of the electric field strength and magnetic field strength of each temporary power equipment corresponding to each monitoring period; The state parameters of each temporary power equipment corresponding to each monitoring period are jointly composed of the operating parameters, environmental parameters and electromagnetic parameters of each temporary power equipment corresponding to each monitoring period.

3. According to claim 1, the intelligent management system for temporary electricity consumption is characterized in that: The operation parameters of each temporary power-consuming equipment corresponding to each monitoring period are calculated and analyzed, and the specific calculation and analysis method is as follows: Obtain several monitoring time points from each temporary power device in each monitoring period, obtain the current, voltage and power data of each temporary power device at each monitoring time point in each monitoring period, and calculate the current fluctuation coefficient, voltage fluctuation coefficient and power fluctuation coefficient of each temporary power device in each monitoring period; The above parameters are used to calculate the comprehensive operation coefficient of each temporary power equipment corresponding to each monitoring period. .

4. The temporary power intelligent management system according to claim 1 is characterized by: The environmental parameters of each temporary power-consuming equipment corresponding to each monitoring period are calculated and analyzed, and the specific calculation and analysis method is as follows: Extract the temperature value, humidity value and dust concentration value of each temporary power equipment corresponding to each monitoring period from the environmental parameters of each temporary power equipment corresponding to each monitoring period; Obtain the median value of the temperature standard value, humidity standard value, and dust concentration standard value of each temporary power equipment corresponding to each monitoring period from the cloud database; The equipment performance status coefficient of each temporary power equipment corresponding to each monitoring period is calculated through the above parameters. .

5. The temporary power intelligent management system according to claim 1 is characterized by: The electromagnetic parameters of each temporary power-consuming equipment corresponding to each monitoring period are calculated and analyzed, and the specific calculation and analysis method is as follows: Extracting the electromagnetic intensity and magnetic field intensity of each temporary power equipment corresponding to each monitoring period from the electromagnetic parameters of each temporary power equipment corresponding to each monitoring period; At the same time, obtain the monitoring distance between each temporary power-consuming equipment and the electromagnetic radiation monitor; The electromagnetic radiation influence coefficient of each temporary electrical equipment corresponding to each monitoring period is calculated through the above parameters. .

6. The temporary power intelligent management system according to claim 1 is characterized by: The above-mentioned comparative analysis of the equipment comprehensive operation coefficient, equipment performance status coefficient and electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period is as follows: Obtain the equipment comprehensive operation coefficient limit value set for each temporary power-consuming equipment in each monitoring period from the cloud database, compare and analyze the equipment comprehensive operation coefficient of each temporary power-consuming equipment in each monitoring period with the set equipment comprehensive operation coefficient limit value, and obtain the operation status signal of each temporary power-consuming equipment in the monitoring period; Obtain the equipment performance status coefficient limit value set for each temporary power-consuming equipment in each monitoring period from the cloud database, compare and analyze the equipment performance status coefficient of each temporary power-consuming equipment in each monitoring period with the set equipment performance status coefficient limit value, and obtain the operation performance signal of each temporary power-consuming equipment in the monitoring period; Obtain the electromagnetic radiation influence coefficient limit value set for each temporary power equipment in each monitoring period from the cloud database, compare and analyze the electromagnetic radiation influence coefficient of each temporary power equipment in each monitoring period with the set electromagnetic radiation influence coefficient limit value, and obtain the electromagnetic radiation influence signal of each temporary power equipment in the monitoring period; The management and control signals of each temporary power-consuming equipment corresponding to the monitoring period are composed of the operation status signals, operation performance signals and electromagnetic radiation impact signals of each temporary power-consuming equipment corresponding to the monitoring period.

7. A management method for a temporary power intelligent management system according to any one of claims 1 to 6, characterized in that: A temporary power intelligent management system as claimed in any one of claims 1 to 6, comprising the following steps: Step 1: Real-time monitoring and acquisition of status parameters of each temporary power-consuming device corresponding to each monitoring period to obtain status parameters of each temporary power-consuming device corresponding to each monitoring period, wherein the status parameters of each temporary power-consuming device corresponding to each monitoring period are composed of operating parameters, environmental parameters and electromagnetic parameters of each temporary power-consuming device corresponding to each monitoring period; Step 2: Calculate and analyze the operating parameters of each temporary power-consuming equipment corresponding to each monitoring period to obtain the equipment comprehensive operating coefficient of each temporary power-consuming equipment corresponding to each monitoring period; Step 3: Calculate and analyze the environmental parameters of each temporary power-consuming equipment corresponding to each monitoring period to obtain the equipment performance status coefficient of each temporary power-consuming equipment corresponding to each monitoring period; Step 4: Calculate and analyze the electromagnetic parameters of each temporary power equipment corresponding to each monitoring period to obtain the electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period; Step 5: Compare and analyze the equipment comprehensive operation coefficient, equipment performance status coefficient and electromagnetic radiation influence coefficient of each temporary power equipment corresponding to each monitoring period, and obtain the management and control signal of each temporary power equipment corresponding to each monitoring period, wherein the management and control signal of each temporary power equipment corresponding to the monitoring period is composed of the operation status signal, operation performance signal and electromagnetic radiation influence signal of each temporary power equipment corresponding to the monitoring period; Step 6: Perform corresponding early warning operations on the operating status signals, operating performance signals and electromagnetic radiation impact signals of each temporary power equipment during the monitoring period, and perform corresponding management operations according to different early warning signals.

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