Construction power supply intelligent management device based on Internet of Things control

Abstract

The invention belongs to the technical field of power supply management control, and provides an intelligent construction power supply management device based on Internet of Things control, in a monitoring period, the distribution voltage of each power supply distribution box is monitored in real time to obtain distribution voltage data, the distribution voltage data comprises a distribution voltage value, and the distribution voltage value of each power supply distribution box is calculated according to the distribution voltage value. Analyzing and processing the distributed voltage value to obtain an operation stable value, analyzing and processing the operation stable value based on the obtained operation stable value to obtain an operation fluctuation box, obtaining operation fluctuation box data, processing the operation fluctuation box data, outputting to obtain an operation analysis value, and comparing the operation analysis value with a threshold value. And if the operation analysis value is greater than the operation analysis threshold value, generating an operation state analysis signal so as to reflect the voltage state stability degree of the overall power distribution box during operation, and further analyzing whether the main power supply voltage fluctuates or not to cause fluctuation of the power supply voltage in the power distribution box.

Description

Technical Field

[0001] The present invention belongs to the technical field of power supply management control, and in particular to an intelligent construction power supply management device based on Internet of Things control. Background Art

[0002] At the construction site, power management is a crucial link. Traditional power management has many shortcomings, and the traditional power box control method is single, making it difficult to collect information such as current, voltage, and temperature. In power management, the Internet of Things technology can monitor current, voltage, temperature and other parameters in real time through sensors, and transmit the data to the cloud or local control system for analysis and processing.

[0003] In the prior art, the Internet of Things technology is usually used to monitor the power distribution box's distributed power voltage in real time under a construction environment, and promptly discover power distribution boxes with abnormal distributed power voltage. However, in the present application document, the distributed power of each power distribution box in multiple power distribution boxes is monitored in real time to obtain a fluctuating distribution box, and the proportion, duration and degree of fluctuation of the fluctuating distribution box in the multiple power distribution boxes are analyzed to evaluate the voltage stability of the overall power distribution box during operation, and the main power supply voltage fluctuation is analyzed to determine whether the main power supply voltage fluctuation affects the voltage stability of the overall power distribution box during operation, and by adjusting the main power supply voltage fluctuation range, the problem of large fluctuations in the distributed power supply voltage in other power distribution cabinets during construction caused by the main power supply voltage fluctuation is solved.

[0004] To this end, the present invention provides a construction power supply intelligent management device based on Internet of Things control. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, the problem of large fluctuations in the voltage of the distributed power supply in other power distribution cabinets during construction caused by the fluctuation of the main power supply voltage as mentioned in the background art is solved.

[0006] The technical solution adopted by the present invention to solve its technical problem is: An intelligent management device for construction power supply based on Internet of Things control, comprising: Distribution monitoring module: During the monitoring period, the distribution voltage of each power distribution box is monitored in real time to obtain distribution voltage data, wherein the distribution voltage data includes distribution voltage values, and the distribution voltage values ​​are analyzed and processed to obtain operation stability values; Operation evaluation module: based on the obtained operation stability value, the operation stability value is analyzed and processed to obtain the operation fluctuation box, and the operation fluctuation box data is obtained, wherein the operation fluctuation box data includes the operation fluctuation number ratio, the fluctuation time ratio and the operation fluctuation value, the operation fluctuation number ratio, the fluctuation time ratio and the operation fluctuation value are processed, and the operation analysis value is output, and compared with the threshold value to generate a signal whether the operation status is analyzed; Wherein, whether the running state analyzes the signal includes the running state analyzing the signal or the running state not analyzing the signal; Synchronous analysis module: Based on the running status analysis signal, the voltage in the main power box is monitored in real time to obtain the main voltage data, and the main voltage data is analyzed and processed with the fluctuation voltage data in the running fluctuation box to obtain the synchronization timeliness value and the synchronization degree value. The synchronization timeliness value and the synchronization degree value are processed to output the fluctuation correlation value, which is compared with the threshold. If the fluctuation correlation value is greater than the fluctuation correlation threshold, a fluctuation correlation large signal is generated; Management adjustment module: Based on the fluctuation-related large signal, the adjustment coefficient is obtained to adjust the fluctuation range of the main power supply voltage.

[0007] As a further technical solution of the present invention: the time period change value is obtained by: Divide the monitoring cycle into a number of monitoring periods of equal duration, and divide each monitoring period into a number of monitoring nodes; During the monitoring period, the corresponding allocated voltage value of each monitoring node is obtained, and the corresponding allocated voltage values ​​of adjacent monitoring nodes are subtracted and the absolute value is taken to obtain the adjacent amplitude value; All adjacent amplitude values ​​within the monitoring period are added and averaged to obtain the period change value.

[0008] As a further technical solution of the present invention: the operation stability value is obtained by: The period change value is compared with the period change threshold. The comparison process is as follows: If the period change value is greater than the period change threshold, the monitoring period is marked as an allocation fluctuation period; If the period change value is less than or equal to the period change threshold, the monitoring period is marked as an allocation non-fluctuation period; Get the number of all allocated fluctuation periods in the monitoring period, calculate the ratio of the number of all allocated fluctuation periods in the monitoring period to the total number of monitoring periods in the monitoring period, get the fluctuation period ratio, and mark it as ; During the monitoring period, all the time period change values ​​are added and averaged to obtain the fluctuation degree value, which is marked as ; The proportion of volatility period and volatility value Substituting into the formula: , calculate the running stability value YX, where Expressed as a preset scaling factor.

[0009] As a further technical solution of the present invention: the method of obtaining the operating surge box is: The operation stability value is compared with the operation stability threshold. The comparison process is as follows: If the operation stability value is greater than the operation stability threshold, the power distribution box corresponding to the operation fluctuation signal is marked as an operation fluctuation box.

[0010] As a further technical solution of the present invention: the operation analysis value is obtained by: Obtain the number of operating fluctuation boxes, calculate the ratio of the number of operating fluctuation boxes to the total number of power distribution boxes, and obtain the operating fluctuation number ratio; Get the fluctuation period proportion corresponding to each running fluctuation box, and mark it as running fluctuation proportion; Add up all the operating fluctuation proportions and take the average to get the fluctuation time ratio; Get the time period change value corresponding to each fluctuation distribution box and mark it as the running change value; All running change values ​​are added and averaged to obtain the running change mean; Compare the running change mean with the running change threshold to obtain the running fluctuation value; Substitute the running fluctuation number ratio, fluctuation time ratio and running fluctuation value into the formula: , calculate the running analysis value F, where, Expressed as the ratio of the number of operating fluctuations, It is expressed as the fluctuation time ratio, W is expressed as the operation fluctuation value, , , is represented as the weight coefficient, and The value is 0.427. The value is 0.328. The value is 0.245.

[0011] As a further technical solution of the present invention: the operation analysis value is compared with the operation analysis threshold, and the comparison process is as follows: If the operation analysis value is greater than the operation analysis threshold, an operation status analysis signal is generated; If the running analysis value is less than or equal to the running analysis threshold, a running status non-analysis signal is generated.

[0012] As a further technical solution of the present invention: the fluctuation correlation value is obtained by: The synchronization degree value and the synchronization time value are added together to obtain the fluctuation correlation value.

[0013] As a further technical solution of the present invention: the synchronization timeliness value is obtained in the following manner: Extract the allocated fluctuation period of any running fluctuation box within the monitoring period and mark it as the target analysis period; Divide the target analysis period into a number of analysis nodes, and obtain the main voltage value corresponding to each analysis node; A two-dimensional coordinate system is established, in which the X-axis represents time and the Y-axis represents the main voltage. All main voltage values ​​within the target analysis period are substituted into the two-dimensional coordinate system to draw a main voltage change curve; Extract all the peaks and troughs in the main voltage variation curve, mark the main voltage value corresponding to the peak as the peak main voltage, and mark the main voltage value corresponding to the trough as the trough main voltage; Subtract the adjacent peak main voltage and trough main voltage, take the absolute value, and obtain the target change value; Add all target change values ​​and take the average value to get the target fluctuation value; The target fluctuation value is compared with the target fluctuation threshold. The comparison process is as follows: If the target fluctuation value is greater than or equal to the target fluctuation threshold, the target analysis period is marked as a large fluctuation period; If the target fluctuation value is less than the target fluctuation threshold, the target analysis period is marked as a non-large fluctuation period; Obtain the number of periods with large fluctuations, calculate the ratio of the number of periods with large fluctuations to the total number of all monitoring periods in the monitoring period, and obtain the ratio of the number of overlapping fluctuations; All the overlapping fluctuation number ratios are added together and averaged to obtain the synchronization timeliness value.

[0014] As a further technical solution of the present invention: the synchronization degree value is obtained in the following manner: During the period of large fluctuations, obtain the corresponding distribution voltage value of each analysis node; A two-dimensional coordinate system is established, in which the X-axis represents time and the Y-axis represents the distribution voltage. All distribution voltage values ​​in the large fluctuation period are substituted into the two-dimensional coordinate system to draw a distribution voltage change curve; Compare the main voltage variation curve with the distribution voltage variation curve for coincidence degree to obtain a coincidence variation curve; The length of the coincidence change curve is obtained, marked as the coincidence curve length, and the ratio of the coincidence curve length to the main voltage change curve length is calculated to obtain the synchronization degree coefficient; All synchronization degree coefficients are added together to obtain the synchronization degree value.

[0015] As a further technical solution of the present invention: the main power supply voltage fluctuation range adjustment process is as follows: Get the main voltage fluctuation value and substitute the main voltage fluctuation value into the formula: , calculate the adjustment coefficient K, where Indicates the main voltage fluctuation value, It represents the main voltage fluctuation threshold; The current main power supply voltage fluctuation range Substituting into the formula, the details are as follows: Set the current main power supply voltage fluctuation range to the minimum value Substituting into the formula: , calculate the minimum value of the main power supply voltage fluctuation range after adjustment , where K represents the adjustment coefficient; The maximum value of the current main power supply voltage fluctuation range Substituting into the formula: , calculate the minimum value of the main power supply voltage fluctuation range after adjustment , where K represents the adjustment coefficient.

[0016] The beneficial effects of the present invention are as follows: (1) The present invention monitors the distribution voltage of each power distribution box in real time during the monitoring period to obtain distribution voltage data, wherein the distribution voltage data includes distribution voltage values, analyzes and processes the distribution voltage values ​​to obtain operation stability values, analyzes and processes the operation stability values ​​based on the obtained operation stability values ​​to obtain operation fluctuation boxes, and obtains operation fluctuation box data, wherein the operation fluctuation box data includes operation fluctuation number ratio, fluctuation time ratio and operation fluctuation value, processes the operation fluctuation number ratio, fluctuation time ratio and operation fluctuation value, outputs an operation analysis value, and compares it with a threshold value, and generates an operation status analysis signal if the operation analysis value is greater than the operation analysis threshold value, thereby reflecting the voltage state stability of the overall power distribution box during operation, and further analyzing whether the main power supply voltage fluctuates, resulting in fluctuations in the power supply voltage in the power distribution box; (2) The present invention monitors the main power supply voltage in real time based on the operation status analysis signal to obtain the main power supply voltage data, analyzes and processes the main power supply voltage data and the power supply voltage data in the fluctuation distribution box to obtain a synchronization time value and a synchronization degree value, processes the synchronization time value and the synchronization degree value, outputs a fluctuation correlation value, and compares it with a threshold value. If the fluctuation correlation value is greater than the fluctuation correlation threshold value, a fluctuation correlation large signal is generated. Based on the fluctuation correlation large signal, an adjustment coefficient is obtained, and the fluctuation range of the main power supply voltage is adjusted. Thus, by adjusting the fluctuation range of the main power supply voltage, the distributed power in the power distribution cabinet tends to be stable, thereby solving the problem of large fluctuations in the distributed power supply voltage in other power distribution cabinets during construction caused by the fluctuation of the main power supply voltage. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described below in conjunction with the accompanying drawings.

[0018] Figure 1 It is a method flow chart of a construction power supply intelligent management device based on Internet of Things control according to an embodiment of the present invention; Figure 2 It is a system block diagram of a construction power supply intelligent management device based on Internet of Things control according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0020] Example 1 like Figure 1 - Figure 2 As shown, an intelligent management device for construction power supply based on Internet of Things control according to an embodiment of the present invention includes: Distribution monitoring module: During the monitoring period, the distribution voltage of each power distribution box is monitored in real time to obtain distribution voltage data, wherein the distribution voltage data includes distribution voltage values, and the distribution voltage values ​​are analyzed and processed to obtain operation stability values; In some embodiments, the monitoring cycle is divided into a number of monitoring periods of equal duration, and each monitoring period is divided into a number of monitoring nodes; It should be noted that the monitoring period is divided in a manner of dividing the monitoring nodes at equal time intervals to obtain a number of monitoring nodes; During the monitoring period, the corresponding allocated voltage value of each monitoring node is obtained, and the corresponding allocated voltage values ​​of adjacent monitoring nodes are subtracted and the absolute value is taken to obtain the adjacent amplitude value; All adjacent amplitude values ​​within the monitoring period are added and averaged to obtain the period change value; The period change value is compared with the period change threshold. The comparison process is as follows: If the period change value is greater than the period change threshold, it means that the distribution voltage changes greatly during the monitoring period, and the monitoring period is marked as a distribution fluctuation period; If the period change value is less than or equal to the period change threshold, it means that the distribution voltage changes less during the monitoring period, and the monitoring period is marked as a distribution non-fluctuation period; Get the number of all allocated fluctuation periods in the monitoring period, calculate the ratio of the number of all allocated fluctuation periods in the monitoring period to the total number of monitoring periods in the monitoring period, get the fluctuation period ratio, and mark it as ; During the monitoring period, all the time period change values ​​are added and averaged to obtain the fluctuation degree value, which is marked as ; The proportion of volatility period and volatility value Substituting into the formula: , calculate the running stability value YX, where , Expressed as a preset scaling factor; It can be understood that: the meaning of the operation stability value is: through the frequency of the fluctuation period (the number of fluctuation periods ratio) and the voltage fluctuation degree (fluctuation degree value) in the fluctuation period, it reflects the stability of the distribution voltage of the power distribution box in the monitoring period. Specifically, the larger this value is, the higher the frequency of the fluctuation period in the power distribution box in the monitoring period, the greater the voltage fluctuation in the fluctuation period, and the more unstable the voltage in the power distribution box is. On the contrary, the smaller this value is, the lower the frequency of the fluctuation period in the power distribution box in the monitoring period, the smaller the voltage fluctuation in the fluctuation period, and the more stable the voltage in the power distribution box is. Operation evaluation module: based on the obtained operation stability value, the operation stability value is analyzed and processed to obtain the operation fluctuation box, and the operation fluctuation box data is obtained, wherein the operation fluctuation box data includes the operation fluctuation number ratio, the fluctuation time ratio and the operation fluctuation value, the operation fluctuation number ratio, the fluctuation time ratio and the operation fluctuation value are processed, and the operation analysis value is output, and compared with the threshold value to generate a signal whether the operation status is analyzed; Wherein, whether the running state analyzes the signal includes the running state analyzing the signal or the running state not analyzing the signal; In some embodiments, the operation stability value is compared with the operation stability threshold, and the comparison process is as follows: If the operation stability value is greater than the operation stability threshold, it means that the higher the frequency of the voltage fluctuation period in the power distribution box during the monitoring period, the greater the voltage fluctuation in the fluctuation period, and the more unstable the voltage in the power distribution box, and an operation fluctuation signal is generated, and the power distribution box corresponding to the operation fluctuation signal is marked as an operation fluctuation box; If the operation stability value is less than or equal to the operation stability threshold, it means that the voltage in the power distribution box has a lower frequency of fluctuations during the monitoring period, the voltage fluctuations during the fluctuation period are smaller, and the voltage in the power distribution box is relatively stable, and an operation non-fluctuation signal is generated, and the power distribution box corresponding to the operation non-fluctuation signal is marked as an operation non-fluctuation box; Obtain the number of operating fluctuation boxes, calculate the ratio of the number of operating fluctuation boxes to the total number of power distribution boxes, and obtain the operating fluctuation number ratio; Get the fluctuation period proportion corresponding to each running fluctuation box, and mark it as running fluctuation proportion; Add up all the operating fluctuation proportions and take the average to get the fluctuation time ratio; Get the time period change value corresponding to each fluctuation distribution box and mark it as the running change value; All running change values ​​are added and averaged to obtain the running change mean; Compare the running change mean with the running change threshold to obtain the running fluctuation value; Substitute the running fluctuation number ratio, fluctuation time ratio and running fluctuation value into the formula: , calculate the running analysis value F, where, Expressed as the ratio of the number of operating fluctuations, It is expressed as the fluctuation time ratio, W is expressed as the operation fluctuation value, , , is represented as the weight coefficient, and The value is 0.427. The value is 0.328. The value is 0.245; It can be understood that the meaning of the operation analysis value is: within the monitoring period, the proportion of the operating fluctuation box in the total number of power distribution boxes, the duration of the fluctuation period of the operating fluctuation box in the monitoring period, and the overall fluctuation degree of the operating fluctuation box, which reflects the overall operation status of all power distribution boxes. Specifically, the larger the value, the greater the proportion of the operating fluctuation box in the total number of power distribution boxes, the longer the duration of the fluctuation period of the operating fluctuation box in the monitoring period, and the greater the overall fluctuation degree of the operating fluctuation box, and the overall operation status of the power distribution box is relatively unstable. On the contrary, the smaller the value, the smaller the proportion of the fluctuation distribution box in the total number of power distribution boxes, the shorter the duration of the fluctuation period of the operating fluctuation box in the monitoring period, and the smaller the overall fluctuation degree of the operating fluctuation box, and the overall operation status of the power distribution box is relatively stable. The running analysis value is compared with the running analysis threshold. The comparison process is as follows: If the operation analysis value is greater than the operation analysis threshold, it means that among the total individuals in the power distribution box, the proportion of operation fluctuation individuals is large, the total duration of operation fluctuation is long, and the degree of operation fluctuation is large, and the overall operation state of the power distribution box is relatively unstable, and an operation state analysis signal is generated; If the operation analysis value is less than or equal to the operation analysis threshold, it means that among the total individuals in the power distribution box, the proportion of operation fluctuation individuals is small, the total duration of operation fluctuation is short, and the degree of operation fluctuation is small. The overall operation state of the power distribution box is relatively stable, and an operation state non-analysis signal is generated; The specific implementation plan of the embodiment of the present invention is: within the monitoring period, the distribution voltage of each power distribution box is monitored in real time to obtain distribution voltage data, wherein the distribution voltage data includes distribution voltage values, the distribution voltage values ​​are analyzed and processed to obtain operation stability values, based on the obtained operation stability values, the operation stability values ​​are analyzed and processed to obtain operation fluctuation box, and operation fluctuation box data are obtained, wherein the operation fluctuation box data includes operation fluctuation number ratio, fluctuation time ratio and operation fluctuation value, the operation fluctuation number ratio, fluctuation time ratio and operation fluctuation value are processed, and the operation analysis value is output and compared with the threshold value, if the operation analysis value is greater than the operation analysis threshold value, an operation status analysis signal is generated, thereby reflecting the voltage state stability of the overall power distribution box during operation, and then analyzing whether the main power supply voltage fluctuates, resulting in fluctuations in the power supply voltage in the power distribution box.

[0021] Example 2 like Figure 1 - Figure 2 As shown, based on Example 1, an intelligent management device for construction power supply based on Internet of Things control described in an embodiment of the present invention includes: Synchronous analysis module: Based on the running status analysis signal, the voltage in the main power box is monitored in real time to obtain the main voltage data, and the main voltage data is analyzed and processed with the fluctuating voltage data in the running fluctuation box to obtain the synchronization timeliness value and the synchronization degree value. The synchronization timeliness value and the synchronization degree value are processed to output the fluctuation correlation value, which is compared with the threshold to generate the fluctuation correlation signal; Wherein, the fluctuation correlation signal includes a fluctuation correlation large signal or a fluctuation correlation small signal; In some embodiments, when the operation status analysis signal is generated, main voltage data and fluctuating voltage data in each operation fluctuation box are acquired, wherein the main voltage data includes a main voltage value and the fluctuating voltage data includes a fluctuating voltage value; Extract the allocated fluctuation period of any running fluctuation box within the monitoring period and mark it as the target analysis period; Divide the target analysis period into a number of analysis nodes, and obtain the main voltage value corresponding to each analysis node; It should be noted that the target analysis period is divided in the same way as the monitoring period; A two-dimensional coordinate system is established, in which the X-axis represents time and the Y-axis represents the main voltage. All main voltage values ​​within the target analysis period are substituted into the two-dimensional coordinate system to draw a main voltage change curve; Extract all the peaks and troughs in the main voltage variation curve, mark the main voltage value corresponding to the peak as the peak main voltage, and mark the main voltage value corresponding to the trough as the trough main voltage; Subtract the adjacent peak main voltage and trough main voltage, take the absolute value, and obtain the target change value; Add all target change values ​​and take the average value to get the target fluctuation value; The target fluctuation value is compared with the target fluctuation threshold. The comparison process is as follows: If the target fluctuation value is greater than or equal to the target fluctuation threshold, it means that the main voltage fluctuation amplitude is large during the allocated fluctuation period, and the target analysis period is marked as a large fluctuation period; If the target fluctuation value is less than the target fluctuation threshold, it means that the fluctuation amplitude of the main voltage is small during the allocated fluctuation period, and the target analysis period is marked as a small fluctuation period; Obtain the number of periods with large fluctuations, calculate the ratio of the number of periods with large fluctuations to the total number of all monitoring periods in the monitoring period, and obtain the ratio of the number of overlapping fluctuations; All the overlapping fluctuation number ratios are added and averaged to obtain the synchronization timeliness value; During the period of large fluctuations, obtain the corresponding distribution voltage value of each analysis node; A two-dimensional coordinate system is established, in which the X-axis represents time and the Y-axis represents voltage. All the distribution voltage values ​​in the large fluctuation period are substituted into the two-dimensional coordinate system to draw a distribution voltage change curve; Compare the main voltage variation curve with the distribution voltage variation curve for coincidence degree to obtain a coincidence variation curve; The length of the coincidence change curve is obtained, marked as the coincidence curve length, and the ratio of the coincidence curve length to the main voltage change curve length is calculated to obtain the synchronization degree coefficient; All synchronization degree coefficients are added together to obtain a synchronization degree value; The synchronization degree value and the synchronization timeliness value are added and summed to obtain the fluctuation correlation value; It can be understood that: the meaning of the fluctuation correlation value is: reflecting the synchronization of the voltage fluctuation in the main power supply box and the power supply voltage fluctuation in the running fluctuation box in time, as well as the synchronization of the fluctuation degree. Specifically, the larger the value is, the higher the synchronization degree of the voltage fluctuation in the main power supply box and the power supply voltage fluctuation in the running fluctuation box is, and the higher the synchronization degree of the fluctuation degree is, and the voltage fluctuation in the main power supply box has a greater impact on the voltage fluctuation in the running fluctuation box. On the contrary, the smaller the value is, the lower the synchronization degree of the voltage fluctuation in the main power supply box and the power supply voltage fluctuation in the running fluctuation box is, and the synchronization degree of the fluctuation degree is, and the voltage fluctuation in the main power supply box has a smaller impact on the voltage fluctuation in the running fluctuation box. The fluctuation correlation value is compared with the fluctuation correlation threshold. The comparison process is as follows: If the fluctuation correlation value is greater than the fluctuation correlation threshold, it means that the voltage fluctuation in the main power supply box and the power supply voltage fluctuation in the running fluctuation box have a high degree of synchronization in time and a high degree of synchronization in fluctuation degree. The voltage fluctuation in the main power supply box has a greater impact on the voltage fluctuation in the running fluctuation box, generating a large fluctuation correlation signal; If the fluctuation correlation value is less than or equal to the fluctuation correlation threshold, it means that the voltage fluctuation in the main power supply box and the power supply voltage fluctuation in the running fluctuation box have a low degree of synchronization in time and a low degree of synchronization in fluctuation, and the voltage fluctuation in the main power supply box has a small effect on the voltage fluctuation in the running fluctuation box, generating a small fluctuation correlation signal; Management adjustment module: Based on the fluctuation-related large signal, the adjustment coefficient is obtained to adjust the fluctuation range of the main power supply voltage; In some embodiments, when a fluctuation-related large signal is generated, an adjustment coefficient is obtained, and the fluctuation range of the voltage in the main power supply box is adjusted according to the adjustment coefficient. The specific process is as follows: Get the main voltage fluctuation value and substitute the main voltage fluctuation value into the formula: , calculate the adjustment coefficient K, where Indicates the main voltage fluctuation value, It represents the main voltage fluctuation threshold; The main power supply voltage fluctuation range adjustment process is as follows: The current main power supply voltage fluctuation range Substituting into the formula, the details are as follows: Set the current main power supply voltage fluctuation range to the minimum value Substituting into the formula: , calculate the minimum value of the main power supply voltage fluctuation range after adjustment , where K represents the adjustment coefficient; The maximum value of the current main power supply voltage fluctuation range Substituting into the formula: , calculate the minimum value of the main power supply voltage fluctuation range after adjustment , where K represents the adjustment coefficient; The specific implementation scheme of the embodiment of the present invention is: based on the operation status analysis signal, the main power supply voltage is monitored in real time to obtain the main power supply voltage data, the main power supply voltage data and the power supply voltage data in the fluctuation distribution box are analyzed and processed to obtain the synchronization time value and the synchronization degree value, the synchronization time value and the synchronization degree value are processed, and the fluctuation correlation value is output to obtain the fluctuation correlation value, and compared with the threshold value. If the fluctuation correlation value is greater than the fluctuation correlation threshold, a fluctuation correlation large signal is generated. Based on the fluctuation correlation large signal, an adjustment coefficient is obtained, and the fluctuation range of the main power supply voltage is adjusted. Therefore, by adjusting the fluctuation range of the main power supply voltage, the distributed power supply in the power distribution cabinet tends to be stable, thereby solving the problem of large fluctuations in the distributed power supply voltage in other power distribution cabinets during construction caused by the fluctuation of the main power supply voltage.

[0022] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A construction power supply intelligent management device based on Internet of Things control, characterized by: include: Distribution monitoring module: During the monitoring period, the distribution voltage of each power distribution box is monitored in real time to obtain distribution voltage data, wherein the distribution voltage data includes distribution voltage values, and the distribution voltage values ​​are analyzed and processed to obtain operation stability values; Operation evaluation module: based on the obtained operation stability value, the operation stability value is analyzed and processed to obtain the operation fluctuation box, and the operation fluctuation box data is obtained, wherein the operation fluctuation box data includes the operation fluctuation number ratio, the fluctuation time ratio and the operation fluctuation value, the operation fluctuation number ratio, the fluctuation time ratio and the operation fluctuation value are processed, and the operation analysis value is output, and compared with the threshold value to generate a signal whether the operation status is analyzed; Wherein, whether the running state analyzes the signal includes the running state analyzing the signal or the running state not analyzing the signal; Synchronous analysis module: Based on the running status analysis signal, the voltage in the main power box is monitored in real time to obtain the main voltage data, and the main voltage data is analyzed and processed with the fluctuation voltage data in the running fluctuation box to obtain the synchronization timeliness value and the synchronization degree value. The synchronization timeliness value and the synchronization degree value are processed to output the fluctuation correlation value, which is compared with the threshold. If the fluctuation correlation value is greater than the fluctuation correlation threshold, a fluctuation correlation large signal is generated; Management adjustment module: Based on the fluctuation-related large signal, the adjustment coefficient is obtained to adjust the fluctuation range of the main power supply voltage.

2. According to claim 1, a construction power supply intelligent management device based on Internet of Things control is characterized in that: The method for obtaining the time period change value is: Divide the monitoring cycle into a number of monitoring periods of equal duration, and divide each monitoring period into a number of monitoring nodes; During the monitoring period, the corresponding allocated voltage value of each monitoring node is obtained, and the corresponding allocated voltage values ​​of adjacent monitoring nodes are subtracted and the absolute value is taken to obtain the adjacent amplitude value; All adjacent amplitude values ​​within the monitoring period are added and averaged to obtain the period change value.

3. According to claim 2, a construction power supply intelligent management device based on Internet of Things control is characterized in that: The operation stability value is obtained as follows: The period change value is compared with the period change threshold. The comparison process is as follows: If the period change value is greater than the period change threshold, the monitoring period is marked as an allocation fluctuation period; If the period change value is less than or equal to the period change threshold, the monitoring period is marked as an allocation non-fluctuation period; Get the number of all allocated fluctuation periods in the monitoring period, calculate the ratio of the number of all allocated fluctuation periods in the monitoring period to the total number of monitoring periods in the monitoring period, get the fluctuation period ratio, and mark it as ; During the monitoring period, all the time period change values ​​are added and averaged to obtain the fluctuation degree value, which is marked as ; The proportion of volatility period and volatility value Substituting into the formula: , calculate the running stability value YX, where Expressed as a preset scaling factor.

4. According to claim 3, a construction power supply intelligent management device based on Internet of Things control is characterized in that: The way to get the running wave box is: The operation stability value is compared with the operation stability threshold. The comparison process is as follows: If the operation stability value is greater than the operation stability threshold, the power distribution box corresponding to the operation fluctuation signal is marked as an operation fluctuation box.

5. According to claim 4, a construction power supply intelligent management device based on Internet of Things control is characterized in that: The way to obtain the running analysis value is: Obtain the number of operating fluctuation boxes, calculate the ratio of the number of operating fluctuation boxes to the total number of power distribution boxes, and obtain the operating fluctuation number ratio; Get the fluctuation period proportion corresponding to each running fluctuation box, and mark it as running fluctuation proportion; Add up all the operating fluctuation proportions and take the average to get the fluctuation time ratio; Get the time period change value corresponding to each fluctuation distribution box and mark it as the running change value; All running change values ​​are added and averaged to obtain the running change mean; Compare the running change mean with the running change threshold to obtain the running fluctuation value; Substitute the running fluctuation number ratio, fluctuation time ratio and running fluctuation value into the formula: , calculate the running analysis value F, where, Expressed as the ratio of the number of operating fluctuations, It is expressed as the fluctuation time ratio, W is expressed as the operation fluctuation value, , , is represented as the weight coefficient, and The value is 0.

427. The value is 0.

328. The value is 0.

245.

6. According to claim 1, a construction power supply intelligent management device based on Internet of Things control is characterized in that: The running analysis value is compared with the running analysis threshold. The comparison process is as follows: If the operation analysis value is greater than the operation analysis threshold, an operation status analysis signal is generated; If the running analysis value is less than or equal to the running analysis threshold, a running status non-analysis signal is generated.

7. According to claim 1, a construction power supply intelligent management device based on Internet of Things control is characterized in that: The volatility correlation value is obtained as follows: The synchronization degree value and the synchronization time value are added together to obtain the fluctuation correlation value.

8. According to claim 1, a construction power supply intelligent management device based on Internet of Things control is characterized in that: The synchronization time value is obtained as follows: Extract the allocated fluctuation period of any running fluctuation box within the monitoring period and mark it as the target analysis period; Divide the target analysis period into a number of analysis nodes, and obtain the main voltage value corresponding to each analysis node; A two-dimensional coordinate system is established, in which the X-axis represents time and the Y-axis represents the main voltage. All main voltage values ​​within the target analysis period are substituted into the two-dimensional coordinate system to draw a main voltage change curve; Extract all the peaks and troughs in the main voltage variation curve, mark the main voltage value corresponding to the peak as the peak main voltage, and mark the main voltage value corresponding to the trough as the trough main voltage; Subtract the adjacent peak main voltage and trough main voltage, take the absolute value, and obtain the target change value; Add all target change values ​​and take the average value to get the target fluctuation value; The target fluctuation value is compared with the target fluctuation threshold. The comparison process is as follows: If the target fluctuation value is greater than or equal to the target fluctuation threshold, the target analysis period is marked as a large fluctuation period; If the target fluctuation value is less than the target fluctuation threshold, the target analysis period is marked as a non-large fluctuation period; Obtain the number of periods with large fluctuations, calculate the ratio of the number of periods with large fluctuations to the total number of all monitoring periods in the monitoring period, and obtain the ratio of the number of overlapping fluctuations; All the overlapping fluctuation number ratios are added together and averaged to obtain the synchronization timeliness value.

9. The construction power supply intelligent management device based on Internet of Things control according to claim 1 is characterized in that: The synchronization degree value is obtained as follows: During the period of large fluctuations, obtain the corresponding distribution voltage value of each analysis node; A two-dimensional coordinate system is established, in which the X-axis represents time and the Y-axis represents the distribution voltage. All distribution voltage values ​​in the large fluctuation period are substituted into the two-dimensional coordinate system to draw a distribution voltage change curve; Compare the main voltage variation curve with the distribution voltage variation curve for coincidence degree to obtain a coincidence variation curve; The length of the coincidence change curve is obtained, marked as the coincidence curve length, and the ratio of the coincidence curve length to the main voltage change curve length is calculated to obtain the synchronization degree coefficient; All synchronization degree coefficients are added together to obtain the synchronization degree value.

10. The intelligent construction system based on digital twin according to claim 1, characterized in that: The main power supply voltage fluctuation range adjustment process is as follows: Get the main voltage fluctuation value and substitute the main voltage fluctuation value into the formula: , calculate the adjustment coefficient K, where Indicates the main voltage fluctuation value, It represents the main voltage fluctuation threshold; The current main power supply voltage fluctuation range Substituting into the formula, the details are as follows: Set the current main power supply voltage fluctuation range to the minimum value Substituting into the formula: , calculate the minimum value of the main power supply voltage fluctuation range after adjustment , where K represents the adjustment coefficient; The maximum value of the current main power supply voltage fluctuation range Substituting into the formula: , calculate the minimum value of the main power supply voltage fluctuation range after adjustment , where K represents the adjustment coefficient.

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