Energy consumption early warning method and system for smart parks

Abstract

The present invention discloses an energy consumption early warning method and system for a smart park, which relates to the technical field of energy consumption prediction for a smart park. The smart park is divided into multiple energy consumption management zones according to geographical location. A central energy consumption analysis device analyzes the received energy consumption data of multiple fixed power loads and multiple mobile power loads at set intervals, and respectively counts the real-time total energy consumption values ​​of the multiple energy consumption management zones. The present invention can divide the mobile power loads and the fixed power loads into zones at a certain moment, summarize and analyze the energy consumption within the zone, set energy consumption thresholds for the energy consumption management zones, analyze the energy consumption management zones with excessive energy consumption, and issue early warnings for the excessive energy consumption management zones. Compared with the overall energy consumption statistics, this analysis scheme is more refined and can directly locate the zones. It is more targeted for energy consumption early warnings for the smart park, more accurate in handling, and more effective.

Description

Technical Field

[0001] The present invention relates to the technical field of energy consumption prediction for smart parks, and in particular to an energy consumption early warning method and system for smart parks. Background Art

[0002] At present, the energy consumption management of smart parks in the existing technology is based on the energy consumption statistics of fixed loads. The Chinese invention patent with publication number CN117077899A discloses a method, system, terminal and medium for monitoring and analyzing energy consumption anomalies in smart parks, which collects the real-time energy consumption values ​​of electrical equipment; determines the energy increment coefficient by the ratio of the real-time energy consumption value to the historical energy consumption value; establishes an energy consumption distribution based on the energy increment coefficient; calculates the mean value of the energy increment coefficient within the first diameter range and the mean value of the energy increment coefficient within the second diameter range in the energy consumption distribution diagram; calculates the coefficient drop value by the difference between the two energy increment coefficient means, and outputs an abnormal signal when the coefficient drop value exceeds the drop threshold; and issues an abnormal warning to the electrical equipment within the second diameter range in the energy consumption distribution diagram based on the abnormal signal.

[0003] With the development of smart parks, more and more parks use intelligent logistics vehicles to carry out logistics scheduling within the park. This plan does not take into account the energy consumption management of logistics vehicles in the current smart parks. Obviously, the energy consumption of logistics vehicles in smart parks is not small, and their energy consumption level relative to the power load is not low. They should be counted and analyzed during energy consumption management.

[0004] Therefore, how to achieve more comprehensive energy consumption management analysis in smart parks, timely analyze and discover when energy consumption exceeds the limit or other energy consumption anomalies occur, and issue early warnings is a technical problem that needs to be solved urgently. Summary of the Invention

[0005] In order to solve the technical problem of comprehensive management and analysis of energy consumption in smart parks, the present invention provides an energy consumption early warning method and system for smart parks. The following technical solutions are adopted:

[0006] An energy consumption early warning method for a smart park includes the following steps:

[0007] Step 1: Obtain location data for multiple fixed electrical loads within the smart park, and install fixed energy consumption collection devices at each of the multiple fixed electrical loads. The fixed energy consumption collection devices are electrically connected to the main control circuit boards of the fixed electrical loads, and collect real-time energy consumption data from the multiple fixed electrical loads at set time intervals t and transmit it to a central energy consumption analysis device.

[0008] Step 2: Installing mobile energy consumption collection devices at multiple mobile electrical loads. The mobile energy consumption collection devices are electrically connected to the main control circuit board of the mobile electrical loads. The mobile energy consumption collection devices collect real-time energy consumption data and positioning data of the multiple mobile electrical loads at set time intervals t, and transmit them to the central energy consumption analysis device.

[0009] Step 3: The smart park is divided into multiple energy consumption management zones according to geographical locations. The central energy consumption analysis device analyzes the received energy consumption data of multiple fixed power loads and multiple mobile power loads at set intervals to obtain energy consumption values ​​of the multiple fixed power loads and the energy consumption values ​​of the multiple mobile power loads, respectively. The positioning data of the multiple mobile power loads are analyzed respectively. According to the ranges of the multiple energy consumption management zones and the positioning data of the mobile power loads, the multiple fixed power loads and the multiple mobile power loads are divided into multiple energy consumption management zones respectively according to the ranges of the multiple energy consumption management zones and the positioning data of the mobile power loads, and the real-time total energy consumption values ​​of the multiple energy consumption management zones are respectively calculated.

[0010] Step 4: Set the energy consumption threshold of the energy consumption management partition, and compare the real-time total energy consumption values ​​of multiple energy consumption management partitions with the energy consumption threshold of the energy consumption management partition. If it is judged that the energy consumption threshold of the energy consumption management partition is exceeded, it is judged that the energy consumption management partition has the risk of exceeding the energy consumption limit, and an energy consumption exceeding standard warning is issued for the energy consumption management partition with the risk of exceeding the energy consumption limit.

[0011] By adopting the above technical solution, real-time power consumption collection is performed for multiple fixed power loads in the smart park. Fixed power loads refer to electrical equipment that reaches a certain power in the smart park. Some small electrical appliances are not counted. Fixed power loads can be conveyors, overhead cranes, central monitoring platforms, etc. Fixed power loads can be used to achieve real-time power consumption collection.

[0012] As for the energy consumption data collection of mobile power loads, it is realized based on mobile energy consumption collection devices. Mobile power loads refer to some mobile logistics vehicles in the smart park. With the popularization of new energy vehicles in smart parks, although their energy consumption is not directly connected to the mains, if the energy consumption during their operation is not monitored, these energy consumptions will still be generated during subsequent charging. Therefore, a mobile energy consumption collection device is used to synchronously collect the energy consumption of mobile power loads. It can be realized that mobile power loads and fixed power loads can be divided into areas at a certain moment, and the energy consumption in the area can be summarized and analyzed. Energy consumption thresholds are set for energy consumption management zones. Energy consumption management zones with excessive energy consumption can be analyzed and early warnings can be issued for energy consumption management zones that exceed the limit. In theory, a smart park with an area of ​​10 square kilometers can be divided into 10 zones, and the area of ​​each zone is 1 square kilometer. Energy consumption analysis and early warning are performed on 10 energy consumption management zones separately. Compared with the overall energy consumption statistics, this analysis solution is more detailed and can directly locate the zones. The energy consumption early warning for the smart park is more targeted, the handling is more accurate, and the effect is better.

[0013] Optionally, in step 4, the energy consumption threshold of the energy consumption management zone is dynamically adjusted based on the busyness of the smart park logistics.

[0014] Optionally, a method for dynamically adjusting the energy consumption threshold of the energy consumption management partition is as follows: assuming that a basic value of the energy consumption threshold of the energy consumption management partition is ea, assuming that the number of mobile power loads is n, the position data of the multiple mobile power loads at time t are recorded as ep1, ep2, ..., epn, respectively; and the position data of the multiple mobile power loads at time 2t after the time interval t are recorded as eps1, eps2, ..., epsn, respectively;

[0015] Calculate the movement of multiple mobile power loads from time t to time 2t respectively. The calculation formula is:

[0016] ;

[0017] The movement amounts of multiple mobile power loads are recorded as S1, S2, ..., Sn, respectively. The movement amount threshold Sa is set. If S>Sa, it is recorded as a busy state. The movement amounts of multiple mobile power loads are compared with the size of Sa. The number of mobile power loads in the busy state at time 2t is counted as m. Assume that the busyness of the smart park logistics at time 2t is B, then , then the energy consumption threshold of the energy consumption management partition at time 2t is ea2t= .

[0018] By adopting the above technical solution, if the energy consumption threshold of the energy consumption management partition is fixed using an empirical value or a historical value, then when the smart park logistics is busy enough, it is obvious that the energy consumption of each fixed equipment and logistics cart is very high, which will cause the energy consumption of the energy consumption management partition to exceed the limit. However, this exceedance is caused by the busy logistics of the smart park, not an abnormal exceedance. Therefore, the energy consumption threshold of the energy consumption management partition is dynamically adjusted based on the busyness of the smart park logistics to match the energy consumption changes caused by the changes in the busyness of the smart park logistics. This will reduce some meaningless energy consumption warnings and avoid interference with the normal operation of the smart park when the logistics are busy.

[0019] When dynamically adjusting the energy consumption threshold of the energy consumption management partition, the busyness of the smart park logistics is determined by referring to the movement amount of the mobile power load. Specifically, by comparing whether the movement displacement between two data collection time intervals exceeds the set value, it is judged whether the mobile power load is in the logistics movement state. The more mobile power loads in the logistics movement state in an energy consumption management partition, the busier the energy consumption management partition is.

[0020] Optionally, in step 3, the method for separately counting the real-time total energy consumption values ​​of multiple energy consumption management zones is as follows: assuming that the number of fixed power loads within the energy consumption management zone is x, the number of mobile power loads is y, and the energy consumption values ​​of the multiple fixed power loads at time 2t are respectively recorded as e1, e2, ..., ex, and the total energy consumption value of the multiple fixed power loads is obtained by summing them and recorded as SUMe;

[0021] The energy consumption values ​​of multiple mobile electrical loads are recorded as em1, em2, ..., ey, and the total energy consumption value of multiple mobile electrical loads is obtained by summing them up and recorded as SUMem;

[0022] The real-time total energy consumption value SUMa in the energy consumption management zone is SUMe+SUMem.

[0023] By adopting the above technical solution, the method for counting the real-time total energy consumption values ​​of multiple energy consumption management partitions adopts a summation method, which can count the energy consumption in the area.

[0024] Optionally, the method further includes step 5, in which if it is determined that the energy consumption threshold of the energy consumption management partition is exceeded, the central energy consumption analysis device issues a regional energy consumption warning.

[0025] An energy consumption early warning system for smart parks includes multiple fixed energy consumption collection devices, multiple mobile energy consumption collection devices, and a central energy consumption analysis device. The fixed energy consumption collection devices are respectively installed on one side of a fixed power load, electrically connected to the main control circuit board of the fixed power load to collect real-time energy consumption data, and are communicatively connected to the central energy consumption analysis device; the mobile energy consumption collection device is installed on one side of the mobile load energy consumption collector, electrically connected to the main control circuit board of the mobile power load to collect real-time energy consumption data, and is communicatively connected to the central energy consumption analysis device;

[0026] The central energy consumption analysis device is pre-installed with an energy consumption analysis program designed using an energy consumption early warning method for smart parks. It analyzes real-time energy consumption data collected by multiple fixed energy consumption collection devices and multiple mobile energy consumption collection devices, displays the analysis results and issues early warnings.

[0027] Optionally, the fixed energy consumption collection device includes a fixed load energy consumption collector and a fixed load wireless communication module. The fixed load energy consumption collector is installed on one side of the fixed power load and is electrically connected to the main control circuit board of the fixed power load to collect real-time energy consumption data and wirelessly communicate with the central energy consumption analysis device through the fixed load wireless communication module to exchange real-time energy consumption data.

[0028] Optionally, the mobile energy consumption collection device includes a mobile load energy consumption collector, a mobile load locator and a mobile load wireless communication module. The mobile energy consumption collection device is installed at the mobile power load and moves with the mobile power load. The mobile load energy consumption collector is electrically connected to the main control circuit board of the mobile power load to collect real-time energy consumption data. The mobile load locator locates the position of the mobile power load. The mobile load energy consumption collector and the mobile load locator are respectively wirelessly connected to the central energy consumption analysis device through the mobile load wireless communication module.

[0029] Optionally, the central energy consumption analysis device includes a central wireless communication module, a memory, a data analysis chip and a display. The central wireless communication module is wirelessly connected to the fixed load wireless communication module and the mobile load wireless communication module respectively, and stores the transmitted data in the memory. The memory is pre-installed with an energy consumption analysis program designed using an energy consumption early warning method for smart parks. The data analysis chip calls the data in the memory and runs the energy consumption analysis program to determine whether there is an energy consumption analysis result that indicates a risk of exceeding energy consumption limits in the energy consumption management partition. The data analysis chip is communicatively connected to the display to control the display to display the energy consumption analysis results.

[0030] Optionally, the mobile load locator is a GPS positioning module, and the central wireless communication module is based on 5G communication to achieve wireless communication connection with the fixed load wireless communication module and the mobile load wireless communication module respectively.

[0031] By adopting the above technical solution, the central energy consumption analysis device can issue an early warning for the energy consumption exceeding limit area after running the energy consumption analysis program to determine whether there is an energy consumption analysis result that indicates the energy consumption management zone has a risk of exceeding the limit. The early warning can be displayed on the display. For example, the area occupied by the park can be visualized, and the energy consumption exceeding limit area can be marked in red. Of course, early warning measures such as alarms can also be set to remind staff to pay special attention.

[0032] In summary, the present invention includes at least one of the following beneficial technical effects:

[0033] The present invention can provide an energy consumption early warning method and system for smart parks, which can divide mobile power loads and fixed power loads into areas at a certain moment, summarize and analyze the energy consumption in the area, set energy consumption thresholds for energy consumption management partitions, analyze energy consumption management partitions with excessive energy consumption, and issue early warnings for energy consumption management partitions that exceed the limit. Compared with the overall energy consumption statistics, this analysis solution is more refined and can directly locate the partition. It is more targeted for energy consumption early warnings in smart parks, more accurate in handling, and more effective.

[0034] Dynamically adjusting the energy consumption thresholds of energy management zones based on the busyness of smart park logistics to match energy consumption changes caused by changes in the busyness of smart park logistics will reduce some meaningless energy consumption warnings and avoid interference with normal operations when the smart park logistics is busy. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a schematic diagram of the component connection principle of an energy consumption early warning system for smart parks in the present invention;

[0036] Figure 2 This is a schematic diagram of the communication connection principle of an energy consumption early warning system for smart parks in the present invention.

[0037] Explanation of the accompanying symbols: 1. Fixed power load; 2. Mobile power load; 31. Fixed load energy consumption collector; 32. Fixed load wireless communication module; 41. Mobile load energy consumption collector; 42. Mobile load locator; 43. Mobile load wireless communication module; 51. Central wireless communication module; 52. Memory; 53. Data analysis chip; 54. Display. DETAILED DESCRIPTION

[0038] The present invention will be further described in detail below with reference to the accompanying drawings.

[0039] The embodiments of the present invention disclose an energy consumption early warning method and system for a smart park.

[0040] Reference Figure 1 and Figure 2 , an energy consumption early warning method for a smart park, comprising the following steps:

[0041] Step 1: Obtain location data of multiple fixed electrical loads 1 within the smart park, and install fixed energy consumption collection devices at each of the multiple fixed electrical loads 1. The fixed energy consumption collection devices are electrically connected to the main control circuit board of the fixed electrical loads 1. The real-time energy consumption data of the multiple fixed electrical loads 1 is collected at a set time interval t and transmitted to a central energy consumption analysis device.

[0042] Step 2: Install a mobile energy consumption collection device at each of the multiple mobile electrical loads 2. The mobile energy consumption collection device is electrically connected to the main control circuit board of the mobile electrical load 2. The mobile energy consumption collection device collects real-time energy consumption data and positioning data of the multiple mobile electrical loads 2 at a set time interval t, and transmits the data to the central energy consumption analysis device.

[0043] Step 3: The smart park is divided into multiple energy consumption management zones according to geographical locations. The central energy consumption analysis device analyzes the received energy consumption data of multiple fixed power loads 1 and multiple mobile power loads 2 at set intervals to obtain energy consumption values ​​of multiple fixed power loads 1 and multiple mobile power loads 2, respectively. The positioning data of the multiple mobile power loads 2 are analyzed respectively. According to the ranges of the multiple energy consumption management zones and the positioning data of the mobile power loads 2, the multiple fixed power loads 1 and the multiple mobile power loads 2 are divided into multiple energy consumption management zones respectively, and the real-time total energy consumption values ​​of the multiple energy consumption management zones are respectively counted.

[0044] Step 4: Set the energy consumption threshold of the energy consumption management partition, and compare the real-time total energy consumption values ​​of multiple energy consumption management partitions with the energy consumption threshold of the energy consumption management partition. If it is judged that the energy consumption threshold of the energy consumption management partition is exceeded, it is judged that the energy consumption management partition has the risk of exceeding the energy consumption limit, and an energy consumption exceeding standard warning is issued for the energy consumption management partition with the risk of exceeding the energy consumption limit.

[0045] Real-time power consumption collection is performed for multiple fixed power loads 1 within the smart park. Fixed power loads 1 refer to electrical equipment within the smart park that reaches a certain power. Small electrical appliances are not counted. Fixed power loads 1 can include conveyors, overhead cranes, central monitoring platforms, etc. Fixed power loads 1 can be used to achieve real-time power consumption collection.

[0046] As for the energy consumption data collection of mobile power load 2, it is realized based on the mobile energy consumption collection device. Mobile power load 2 refers to some mobile logistics vehicles in the smart park. With the popularization of new energy vehicles in the smart park, although their energy consumption is not directly connected to the mains, if the energy consumption during its operation is not monitored, these energy consumptions will still be generated during subsequent charging. Therefore, a mobile energy consumption collection device is used to synchronously collect the energy consumption of mobile power load 2, which can divide the mobile power load 2 and the fixed power load 1 into areas at a certain moment and summarize the energy consumption in the area. Analysis: Energy consumption thresholds are set for energy consumption management zones. Energy consumption management zones with excessive energy consumption can be analyzed, and early warnings can be issued for energy consumption management zones with excessive energy consumption. Theoretically, a smart park with an area of ​​10 square kilometers can be divided into 10 zones, and the area of ​​one zone is 1 square kilometer. Energy consumption analysis and early warnings are performed on the 10 energy consumption management zones separately. Compared with the overall energy consumption statistics, this analysis solution is more detailed and can directly locate the zones. It is more targeted for energy consumption early warnings in smart parks, and the handling is more accurate and the effect is better.

[0047] In step 4, the energy consumption threshold of the energy consumption management zone is dynamically adjusted based on the busyness of the smart park logistics.

[0048] The dynamic adjustment method of the energy consumption threshold of the energy consumption management partition is as follows: the basic value of the energy consumption threshold of the energy consumption management partition is ea, the number of mobile electric loads 2 is n, the position data of the multiple mobile electric loads 2 at time t are recorded as ep1, ep2, ..., epn, and the position data of the multiple mobile electric loads 2 at time 2t after the time interval t are recorded as eps1, eps2, ..., epsn.

[0049] Calculate the movement amount of multiple mobile power loads 2 from time t to time 2t respectively. The calculation formula is:

[0050] ;

[0051] The movement amounts of multiple mobile power loads 2 are recorded as S1, S2, ..., Sn, respectively. A movement amount threshold Sa is set. If S>Sa, it is recorded as a busy state. The movement amounts of multiple mobile power loads 2 are compared with the size of Sa, and the number of mobile power loads 2 in the busy state at time 2t is counted as m. Suppose the busyness of the smart park logistics at time 2t is B, then , then the energy consumption threshold of the energy consumption management partition at time 2t is ea2t= .

[0052] If the energy consumption threshold of the energy consumption management partition is fixed using an empirical value or a historical value, then when the smart park logistics is busy enough, it is obvious that the energy consumption of each fixed equipment and logistics cart is very high, which will cause the energy consumption of the energy consumption management partition to exceed the limit. However, this excess is caused by the busy logistics of the smart park, not an abnormal excess. Therefore, the energy consumption threshold of the energy consumption management partition is dynamically adjusted based on the busyness of the smart park logistics to match the energy consumption changes caused by the changes in the busyness of the smart park logistics. This will reduce some meaningless energy consumption warnings and avoid interference with the normal operation of the smart park when the logistics are busy.

[0053] When dynamically adjusting the energy consumption threshold of the energy consumption management partition, the determination of the busyness of the smart park logistics is achieved by referring to the movement amount of the mobile power load 2. Specifically, by comparing whether the movement displacement between two data collection time intervals exceeds the set value, it is judged whether the mobile power load 2 is in the logistics movement state. The more mobile power loads 2 in the logistics movement state in an energy consumption management partition, the busier the energy consumption management partition is.

[0054] In step 3, the method for calculating the real-time total energy consumption values ​​of multiple energy consumption management zones is as follows: let the number of fixed power loads 1 within the energy consumption management zone be x, the number of mobile power loads 2 be y, and the energy consumption values ​​of the multiple fixed power loads 1 at time 2t be e1, e2, ..., ex, respectively. The total energy consumption value of the multiple fixed power loads 1 is summed up and recorded as SUMe;

[0055] The energy consumption values ​​of the multiple mobile electrical loads 2 are respectively recorded as em1, em2, ..., ey, and the total energy consumption value of the multiple mobile electrical loads 2 is obtained by summing them up and recorded as SUMem;

[0056] The real-time total energy consumption value SUMa in the energy consumption management zone is SUMe+SUMem.

[0057] The method for counting the real-time total energy consumption values ​​of multiple energy consumption management partitions adopts a summation method, which can count the energy consumption in the area.

[0058] The method further includes step 5, wherein if it is determined that the energy consumption threshold of the energy consumption management zone is exceeded, the central energy consumption analysis device issues a regional energy consumption warning.

[0059] An energy consumption early warning system for a smart park includes multiple fixed energy consumption collection devices, multiple mobile energy consumption collection devices, and a central energy consumption analysis device. The fixed energy consumption collection devices are respectively installed on one side of a fixed power load 1, electrically connected to the main control circuit board of the fixed power load 1 to collect real-time energy consumption data, and are communicated with the central energy consumption analysis device; the mobile energy consumption collection device is installed on one side of a mobile load energy consumption collector 41, electrically connected to the main control circuit board of the mobile power load 2 to collect real-time energy consumption data, and is communicated with the central energy consumption analysis device;

[0060] The central energy consumption analysis device is pre-installed with an energy consumption analysis program designed using an energy consumption early warning method for smart parks. It analyzes real-time energy consumption data collected by multiple fixed energy consumption collection devices and multiple mobile energy consumption collection devices, displays the analysis results and issues early warnings.

[0061] The fixed energy consumption collection device includes a fixed load energy consumption collector 31 and a fixed load wireless communication module 32. The fixed load energy consumption collector 31 is installed on one side of the fixed electrical load 1 and is electrically connected to the main control circuit board of the fixed electrical load 1 to collect real-time energy consumption data and wirelessly communicate with the central energy consumption analysis device through the fixed load wireless communication module 32 to exchange real-time energy consumption data.

[0062] The mobile energy consumption collection device includes a mobile load energy consumption collector 41, a mobile load locator 42 and a mobile load wireless communication module 43. The mobile energy consumption collection device is installed at the mobile power load 2 and moves with the mobile power load 2. The mobile load energy consumption collector 41 is electrically connected to the main control circuit board of the mobile power load 2 to collect real-time energy consumption data. The mobile load locator 42 locates the position of the mobile power load 2. The mobile load energy consumption collector 41 and the mobile load locator 42 are respectively wirelessly connected to the central energy consumption analysis device through the mobile load wireless communication module 43.

[0063] The central energy consumption analysis device includes a central wireless communication module 51, a memory 52, a data analysis chip 53 and a display 54. The central wireless communication module 51 is wirelessly connected to the fixed load wireless communication module 32 and the mobile load wireless communication module 43 respectively, and stores the transmitted data in the memory 52. ​​The memory 52 is pre-installed with an energy consumption analysis program designed using an energy consumption early warning method for smart parks. The data analysis chip 53 calls the data in the memory 52 and runs the energy consumption analysis program to determine whether there is an energy consumption analysis result that indicates the risk of exceeding the energy consumption limit in the energy consumption management partition. The data analysis chip 53 is communicatively connected to the display 54 to control the display 54 to display the energy consumption analysis results.

[0064] The mobile load locator 42 is a GPS positioning module, and the central wireless communication module 51 is wirelessly connected to the fixed load wireless communication module 32 and the mobile load wireless communication module 43 based on 5G communication.

[0065] After the central energy consumption analysis device runs the energy consumption analysis program to determine whether there is an energy consumption analysis result that indicates a risk of exceeding energy consumption limits in the energy consumption management zone, it can issue an early warning for the area where energy consumption exceeds limits. The early warning display can be performed when the display 54 is displayed. For example, the area occupied by the park can be visualized, and the area where energy consumption exceeds limits can be marked in red. Of course, early warning measures such as alarms can also be set to remind staff to pay special attention.

[0066] The following describes an energy consumption early warning method and system for a smart park using specific embodiments.

[0067] A smart park covers an area of ​​8 square kilometers and has a rectangular area. The smart park is evenly divided into 8 energy consumption management zones, marked as P1, P2, P3, P4, P5, P6, P7, and P8.

[0068] At time 9, the number of fixed power loads 1 within the energy consumption management zone is 15, and the number of mobile power loads 2 is 50. The energy consumption values ​​of multiple fixed power loads 1 at time 2t are recorded as e1, e2, ..., e15, and the total energy consumption value of multiple fixed power loads 1 is obtained by summing them up and recorded as SUMe

[0069] The energy consumption values ​​of the multiple mobile electrical loads 2 are respectively recorded as em1, em2, ..., e50, and the total energy consumption value of the multiple mobile electrical loads 2 is obtained by summing them up and recorded as SUMem;

[0070] The real-time total energy consumption value SUMa in the energy consumption management zone is SUMe+SUMem.

[0071] Assume that the basic energy consumption threshold value of the energy consumption management partition is ea, ea is set to 300 kWh based on historical values, the number of mobile power loads 2 is 50, the location data of multiple mobile power loads 2 at time 9 are recorded as ep1, ep2, ..., ep50, and the location data of multiple mobile power loads 2 at time 2t after time interval t are recorded as eps1, eps2, ..., eps50.

[0072] According to the formula Calculate the movement of multiple mobile power loads 2 from time t to time 2t, and record them as S1, S2, ..., S50 respectively. Set the movement threshold Sa = 50 meters. If S>Sa, it is recorded as a busy state. Compare the movement of multiple mobile power loads 2 with the size of Sa. Count the number of mobile power loads 2 in the busy state at time 2t as 20. Suppose the busyness of the smart park logistics at time 2t is B, then =0.4, then the energy consumption threshold of the energy consumption management partition at time 2t is ea2t= =120 kWh;

[0073] At 9:01, which is the first time interval after 9:00, the total energy consumption value SUMe of multiple fixed power loads 1 in the energy consumption management partition P2 is 85 kWh, and the total energy consumption value SUMem of multiple mobile power loads 2 is 63 kWh; the real-time total energy consumption value in the energy consumption management partition P2 = 85 + 63 = 148 kW> 120 kWh, which is judged to be greater than the energy consumption threshold of the energy consumption management partition. After the central energy consumption analysis device runs the energy consumption analysis program to determine that the energy consumption management partition P2 has an energy consumption analysis result that indicates a risk of exceeding the limit, it issues an early warning for the energy consumption exceeding limit area P2, and displays P2 in red on the display 54 as an early warning to remind staff to pay special attention.

[0074] The above are all preferred embodiments of the present invention, and are not intended to limit the scope of protection of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. An energy consumption early warning method for a smart park, characterized in that: The following steps are involved: Step 1, obtaining location data of multiple fixed power loads (1) in the smart park, and installing fixed energy consumption collection devices at the multiple fixed power loads (1), wherein the fixed energy consumption collection devices are electrically connected to the main control circuit board of the fixed power loads (1), and collect real-time energy consumption data of the multiple fixed power loads (1) at set time intervals t and transmit the data to the central energy consumption analysis device; Step 2: installing a mobile energy consumption collection device at each of the plurality of mobile electrical loads (2), wherein the mobile energy consumption collection device is electrically connected to a main control circuit board of the mobile electrical load (2), and collecting real-time energy consumption data and positioning data of the plurality of mobile electrical loads (2) at a set time interval t, and transmitting the data to a central energy consumption analysis device; Step 3, the smart park is divided into a plurality of energy consumption management zones according to geographical locations, the central energy consumption analysis device analyzes the received energy consumption data of the plurality of fixed power loads (1) and the energy consumption data of the plurality of mobile power loads (2) at set intervals, obtains the energy consumption values ​​of the plurality of fixed power loads (1) and the energy consumption values ​​of the plurality of mobile power loads (2), analyzes the positioning data of the plurality of mobile power loads (2), divides the plurality of fixed power loads (1) and the plurality of mobile power loads (2) into the plurality of energy consumption management zones according to the ranges of the plurality of energy consumption management zones and the positioning data of the mobile power loads (2), and respectively calculates the real-time total energy consumption values ​​of the plurality of energy consumption management zones; Step 4: Set the energy consumption threshold of the energy consumption management partition, and compare the real-time total energy consumption values ​​of multiple energy consumption management partitions with the energy consumption threshold of the energy consumption management partition. If it is judged that the energy consumption threshold of the energy consumption management partition is exceeded, it is judged that the energy consumption management partition has the risk of exceeding the energy consumption limit, and an energy consumption exceeding standard warning is issued for the energy consumption management partition with the risk of exceeding the energy consumption limit.

2. The energy consumption early warning method for a smart park according to claim 1 is characterized in that: In step 4, the energy consumption threshold of the energy consumption management zone is dynamically adjusted based on the busyness of the smart park logistics.

3. The energy consumption early warning method for a smart park according to claim 2 is characterized by: The dynamic adjustment method of the energy consumption threshold of the energy consumption management partition is as follows: the basic value of the energy consumption threshold of the energy consumption management partition is set as ea, the number of the mobile electric loads (2) is set as n, the position data of the multiple mobile electric loads (2) at time t are recorded as ep1, ep2, ..., epn respectively, and the position data of the multiple mobile electric loads (2) at time 2t after the time interval t are recorded as eps1, eps2, ..., epsn respectively; Calculate the movement amount of multiple mobile power loads (2) from time t to time 2t respectively. The calculation formula is: S1=eps1-ep1, S2=eps2-ep2,..., Sn=epsn-epn; S1, S2, ..., Sn are the movement amounts of multiple mobile power loads (2), respectively. A movement amount threshold Sa is set. If the movement amount of a mobile power load (2) is greater than Sa, it is recorded as a busy state. The movement amounts of multiple mobile power loads (2) are compared with the size of Sa, and the number of mobile power loads (2) in the busy state at time 2t is counted as m. Assume that the busyness of the smart park logistics at time 2t is B, then Then the energy consumption threshold of the energy consumption management partition at time 2t is ea2t=B·ea.

4. The energy consumption early warning method for a smart park according to claim 3 is characterized by: In step 3, the method for respectively counting the real-time total energy consumption values ​​of the multiple energy consumption management partitions is as follows: assuming that the number of fixed power loads (1) within the energy consumption management partition is x, the number of mobile power loads (2) is y, and the energy consumption values ​​of the multiple fixed power loads (1) at time 2t are respectively recorded as e1, e2, ..., ex, and the total energy consumption value of the multiple fixed power loads (1) is obtained by summing them up and recorded as SUMe; The energy consumption values ​​of the multiple mobile electrical loads (2) are respectively recorded as em1, em2, ..., ey, and the total energy consumption value of the multiple mobile electrical loads (2) is obtained by summing them up and recorded as SUMem; The real-time total energy consumption value SUMa in the energy consumption management zone is SUMe+SUMem.

5. The energy consumption early warning method for a smart park according to claim 4 is characterized in that: The method further includes step 5, wherein if it is determined that the energy consumption threshold of the energy consumption management zone is exceeded, the central energy consumption analysis device issues a regional energy consumption warning.

6. An energy consumption early warning system for a smart park, characterized by: The invention comprises a plurality of fixed energy consumption collection devices, a plurality of mobile energy consumption collection devices and a central energy consumption analysis device, wherein the fixed energy consumption collection devices are respectively installed on one side of a fixed electrical load (1), electrically connected to a main control circuit board of the fixed electrical load (1) to collect real-time energy consumption data, and are in communication connection with the central energy consumption analysis device; the mobile energy consumption collection device is installed on one side of a mobile load energy consumption collector (41), electrically connected to a main control circuit board of a mobile electrical load (2) to collect real-time energy consumption data, and is in communication connection with the central energy consumption analysis device; The central energy consumption analysis device is pre-installed with an energy consumption analysis program designed using the energy consumption early warning method for smart parks described in claim 5, which analyzes the real-time energy consumption data collected by multiple fixed energy consumption collection devices and multiple mobile energy consumption collection devices, displays the analysis results and issues early warnings.

7. The energy consumption early warning system for a smart park according to claim 6, characterized in that: The fixed energy consumption collection device comprises a fixed load energy consumption collector (31) and a fixed load wireless communication module (32). The fixed load energy consumption collector (31) is installed on one side of the fixed electrical load (1) and is electrically connected to the main control circuit board of the fixed electrical load (1). The fixed load energy consumption collector collects real-time energy consumption data and exchanges the real-time energy consumption data with a central energy consumption analysis device through wireless communication with the fixed load wireless communication module (32).

8. The energy consumption early warning system for a smart park according to claim 7, characterized in that: The mobile energy consumption collection device comprises a mobile load energy consumption collector (41), a mobile load locator (42) and a mobile load wireless communication module (43). The mobile energy consumption collection device is installed at the mobile electric load (2) and moves along with the mobile electric load (2). The mobile load energy consumption collector (41) is electrically connected to the main control circuit board of the mobile electric load (2) to collect real-time energy consumption data. The mobile load locator (42) locates the position of the mobile electric load (2). The mobile load energy consumption collector (41) and the mobile load locator (42) are respectively wirelessly connected to a central energy consumption analysis device via the mobile load wireless communication module (43).

9. The energy consumption early warning system for a smart park according to claim 8, characterized in that: The central energy consumption analysis device includes a central wireless communication module (51), a memory (52), a data analysis chip (53) and a display (54). The central wireless communication module (51) is wirelessly connected to the fixed load wireless communication module (32) and the mobile load wireless communication module (43) respectively, and stores the transmitted data in the memory (52). The memory (52) is pre-installed with an energy consumption analysis program designed using the energy consumption early warning method for smart parks described in claim 5. The data analysis chip (53) calls the data in the memory (52) and runs the energy consumption analysis program to determine whether there is an energy consumption analysis result indicating that the energy consumption management partition has an energy consumption exceeding limit risk. The data analysis chip (53) is communicatively connected to the display (54) to control the display (54) to display the energy consumption analysis result.

10. The energy consumption early warning system for a smart park according to claim 9, characterized in that: The mobile load locator (42) is a GPS positioning module, and the central wireless communication module (51) is wirelessly connected to the fixed load wireless communication module (32) and the mobile load wireless communication module (43) based on 5G communication.

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