Smart city intelligent informatization construction system and method

Abstract

The embodiment of the invention discloses a smart city intelligent informatization construction system and method, and when the system operates, a temperature acquisition module carries out the temperature collection of each position in a building, forms first temperature data, and transmits the first temperature data to a temperature comparison module. The temperature comparison module compares the first temperature data with a preset temperature threshold value, and when it is detected that the temperature of any position is higher than the temperature threshold value, a temperature adjusting command is generated and sent to the cooling module. After the cooling module receives the temperature adjusting command, a water pump connected with the water pipeline module and the auxiliary pipeline module is started, and water in the water tank is driven to enter the water pipeline module. When flowing in the water using pipeline module in the building, water exchanges heat with indoor air and an enclosure structure, and after absorbing indoor heat, the water enters the auxiliary pipeline module through the tail end communicating port and flows back to the water tank. Heat in the building is continuously taken away, the room temperature is gradually reduced, and the air conditioner refrigeration load in the daytime peak period is reduced.

Description

Technical Field

[0001] The present invention relates to the field of smart city technology, and in particular to a smart city intelligent information construction system and method. Background Art

[0002] In the summer, due to high temperatures, urban areas are often warmer than surrounding suburban areas. This is especially true in urban office buildings, where air conditioning systems run for extended periods to maintain a comfortable indoor environment. Air conditioning achieves this cooling effect by transferring indoor heat to the outdoors. However, components like the air conditioner compressor also generate additional heat during operation. This heat is continuously released to the outdoors, causing significant localized temperature increases around buildings, hindering heat dissipation and cooling in the urban environment.

[0003] During off-peak hours (such as late at night), electricity demand in office buildings is significantly lower than during daytime operation, which can easily lead to excess power generation capacity and energy waste. To reduce energy waste, existing technologies typically use pumped storage: during off-peak hours, surplus electricity is used to pump water from downstream bodies to upstream reservoirs for storage. During peak hours, water is released through gates to drive turbines for power generation, achieving energy regulation and reuse. However, while this method can balance electricity supply and demand, it does not effectively improve the overall thermal environment of urban office buildings.

[0004] Currently, there is an urgent need for a smart city intelligent information construction system and method to solve how to reduce the overall temperature of office buildings during non-peak hours and utilize electricity resources during off-peak hours to reduce energy waste. Summary of the Invention

[0005] Based on this, it is necessary to propose a smart city intelligent information construction system and method to address the above problems.

[0006] A smart city intelligent information construction system is proposed, the system comprising: A water storage module includes a water tank, an auxiliary pipe module connected to the water tank, and a water pipe module, wherein the auxiliary pipe module is connected to the end of the water pipe module, and the water pipe module is laid in the building; a temperature acquisition module, configured to acquire temperature data at various locations within the building to generate first temperature data; a temperature comparison module, which compares the first temperature data with a temperature threshold, and generates a temperature adjustment command if the temperature is greater than the temperature threshold; The cooling module executes the temperature adjustment command to control the water pipe module and the auxiliary pipe module to circulate water in the water tank, the water pipe module and the auxiliary pipe module to cool the building.

[0007] In at least one embodiment of the present application, the system further comprises: An ambient temperature monitoring module, configured to monitor the ambient temperature of the building to generate second temperature data; an ambient temperature screening module, screening out data from the second temperature data that is smaller than the maximum value in the first temperature data and is located at the minimum value in the second temperature data, to obtain difference data; A cooling adjustment module, which obtains pipeline data information of a corresponding position of the auxiliary pipeline module or the water pipeline module according to the difference data, and generates adjustment pipeline data information; The adjustment module generates an adjustment instruction according to the adjustment pipeline data information, and executes the adjustment instruction to connect the pipeline corresponding to the difference data to the water pipeline module.

[0008] A method for constructing smart city intelligent information technology is proposed, which is applied to any of the smart city intelligent information technology construction systems described above. The method comprises: During off-peak hours, obtaining temperature data at various locations in the building to generate first temperature data; Comparing the first temperature data with a temperature threshold, and generating a temperature adjustment command if the first temperature data is greater than the temperature threshold; According to the temperature adjustment command, the water pump of the water pipe and the water pump of the auxiliary pipe are controlled to operate so as to circulate water in the water tank, the water pipe and the auxiliary pipe to cool the building.

[0009] In at least one embodiment of the present application, the method further includes: If it is not greater than the temperature threshold, the temperature comparison of the next cycle is performed.

[0010] In at least one embodiment of the present application, the specific step of comparing the first temperature data with a temperature threshold and generating a temperature adjustment command if the first temperature data is greater than the temperature threshold further includes: Calculating an average value of a difference between the first temperature data and the temperature threshold to obtain a first cooling value; Calculating the temperature value that can be lowered during the off-peak period based on the first temperature reduction value to obtain an expected temperature reduction value; Calculate the working power of the water pumps in the water pipes and auxiliary pipes according to the expected temperature drop value to generate power data; The temperature adjustment command is generated according to the power data.

[0011] In at least one embodiment of the present application, the method further includes: Acquiring the ambient temperature around the building to generate second temperature data; generating difference data according to the second temperature data and the first temperature data; Obtaining pipeline information corresponding to the difference data coordinates based on the difference data, and generating adjusted pipeline data information; An adjustment instruction is generated according to the adjustment pipeline data information, and the adjustment instruction is executed so that the pipeline corresponding to the difference data is connected to the water pipeline module.

[0012] In at least one embodiment of the present application, the specific step of generating difference data based on the second temperature data and the first temperature data includes: Filtering out a minimum value from the second temperature data to obtain a minimum temperature value; Filter out the maximum value from the first temperature data to obtain a maximum temperature value; The difference between the minimum temperature value and the maximum temperature value is calculated to generate the difference data.

[0013] In at least one embodiment of the present application, the specific steps before calculating the difference between the minimum temperature value and the maximum temperature value and generating the difference data further include: The minimum temperature value is compared with the maximum temperature value, and if the minimum temperature value is less than the maximum temperature value, the difference data is calculated.

[0014] In at least one embodiment of the present application, the method further includes: If the minimum temperature value is not less than the maximum temperature value, the water pump of the water pipe and the water pump of the auxiliary pipe are controlled to operate according to the temperature adjustment command.

[0015] In at least one embodiment of the present application, the method further includes: Obtain the wind speed around the building and generate surrounding wind speed data; Calculating temperature drop data at various locations in the surrounding environment based on the surrounding environment wind speed data and the second temperature data; Filtering the maximum value from the cooling data to generate a coordinated cooling value; Generate collaborative cooling pipeline data according to the pipeline corresponding to the collaborative cooling value; generating a collaborative cooling command according to the collaborative cooling pipeline data; The coordinated cooling command is executed to connect the pipeline corresponding to the coordinated cooling pipeline data to the auxiliary pipeline or the water pipeline, and the water pump power of the auxiliary pipeline and the water pipeline is adjusted.

[0016] Implementing the smart city intelligent information construction system and method of this embodiment will have at least the following beneficial effects: In the aforementioned smart city intelligent information construction system and method, when the system is in operation, the temperature acquisition module collects temperatures at various locations within the building, generates first temperature data, and transmits this data to the temperature comparison module. The temperature comparison module compares the first temperature data with a preset temperature threshold. If the temperature at any location is detected to be above the threshold, it generates a temperature adjustment command and sends this command to the cooling module.

[0017] Upon receiving the temperature adjustment command, the cooling module activates the water pump connected to the water pipe module and the auxiliary pipe module, driving the water in the water tank into the water pipe module. As the water flows through the water pipe module inside the building, it exchanges heat with the indoor air and the surrounding structure, absorbing the indoor heat. After entering the auxiliary pipe module through the terminal connection, it flows back to the water tank. Through this cycle, heat is continuously removed from the interior of the building, gradually lowering the room temperature.

[0018] This system can be operated preferentially during power off-peak hours, and through water circulation pre-cooling at night or during non-peak hours, it can reduce the air conditioning refrigeration load during peak hours during the day, thereby achieving stable control of the building's internal temperature and efficient use of energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] in: Figure 1 A flowchart of a method for constructing intelligent information technology in a smart city according to an embodiment; Figure 2 for Figure 1 Specific flow chart of some processes of the intelligent information construction method of smart city; Figure 3 A flowchart of a method for constructing smart city intelligent informatization in another embodiment; Figure 4 A flowchart of a method for constructing smart city intelligent informatization in another embodiment; Figure 5 A structural block diagram of a smart city intelligent information construction system in one embodiment; Figure 6 This is an application scenario diagram of the smart city intelligent information construction system.

[0021] In the picture: 100. Smart city intelligent information construction system; 110. Water tank; 111. Auxiliary pipeline module; 112. Water pipeline module; 120. Temperature acquisition module; 121. Temperature comparison module; 123. Cooling module; 130. Ambient temperature monitoring module; 131. Ambient temperature screening module; 132. Cooling adjustment module; 133. Regulation module; 200. Building; 210. Water pump. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0023] A smart city intelligent information construction system 100 is proposed, comprising: The water storage module includes a water tank 110, an auxiliary pipe module 111 connected to the water tank 110, and a water pipe module 112. The auxiliary pipe module 111 is connected to the end of the water pipe module 112. The water pipe module 112 is laid in the building.

[0024] The temperature acquisition module 120 is used to acquire temperature data at various locations in the building to generate first temperature data.

[0025] The temperature comparison module 121 compares the first temperature data with a temperature threshold, and generates a temperature adjustment command if the first temperature data is greater than the temperature threshold.

[0026] The cooling module 123 executes the temperature adjustment command to control the water pipe module 112 and the auxiliary pipe module 111 to circulate water in the water tank 110, the water pipe module 112 and the auxiliary pipe module 111 to cool the building.

[0027] Please refer to Figure 5 and Figure 6 In this embodiment, when the system is running, the temperature acquisition module 120 collects the temperature at various locations within the building, generates first temperature data, and transmits this data to the temperature comparison module 121. The temperature comparison module 121 compares the first temperature data with a preset temperature threshold. If it detects that the temperature at any location is higher than the temperature threshold, it generates a temperature adjustment command and sends the command to the cooling module 123.

[0028] Upon receiving the temperature adjustment command, cooling module 123 activates the water pump connected to water pipe module 112 and auxiliary pipe module 111, driving the water in water tank 110 into water pipe module 112. As the water flows through water pipe module 112 within the building, it exchanges heat with the indoor air and surrounding structures, absorbing the indoor heat before entering auxiliary pipe module 111 through the terminal connection and returning to water tank 110. This cycle continuously removes heat from within the building, gradually lowering the room temperature.

[0029] When the temperature drops below the temperature threshold, the temperature comparison module 121 no longer triggers the temperature adjustment command, the cooling module 123 stops the water circulation, and the system enters the standby state until the next round of temperature detection results triggers the cooling demand again.

[0030] This system can be operated preferentially during power off-peak hours, and through water circulation pre-cooling at night or during non-peak hours, it can reduce the air conditioning refrigeration load during peak hours during the day, thereby achieving stable control of the building's internal temperature and efficient use of energy.

[0031] The system starts the water circulation during off-peak hours to achieve nighttime pre-cooling of the building, which not only consumes cheap or surplus electricity resources, but also reduces the dependence on air conditioning compressors during peak hours during the day, thereby reducing operating costs and alleviating the load on the power grid.

[0032] The water pipe modules 112 are distributed at multiple locations inside the building. When circulating water flows through the pipes, it can evenly absorb heat from all locations, thus avoiding local overheating and improving the balance of indoor temperature distribution.

[0033] By pre-cooling at night, the peak load during the day is reduced, the long-term full-load operation and frequent start-stop of the air-conditioning compressor are reduced, the equipment wear rate is reduced, the service life is extended, and the maintenance frequency and cost are reduced.

[0034] This system releases the building's heat more steadily and dispersedly by transferring heat during off-peak hours, reducing instantaneous heat accumulation around the building during the day and playing a positive role in improving the local thermal environment.

[0035] In at least one embodiment of the present application, the system further comprises: The ambient temperature monitoring module 130 is used to monitor the ambient temperature of the building to generate second temperature data.

[0036] The ambient temperature screening module 131 screens out data from the second temperature data that is smaller than the maximum value in the first temperature data and is located at the minimum value in the second temperature data, to obtain difference data.

[0037] The cooling adjustment module 132 obtains the pipeline data information of the corresponding position of the auxiliary pipeline module 111 or the water pipeline module 112 according to the difference data, and generates the adjustment pipeline data information.

[0038] The adjustment module 133 generates an adjustment instruction according to the adjustment pipeline data information, and executes the adjustment instruction so that the pipeline corresponding to the difference data is connected to the water pipeline module 112.

[0039] Please refer to Figure 5 and Figure 6 In this embodiment, the ambient temperature monitoring module 130 arranges several measurement points around the building (e.g., different facades, rooftops, shaded / ventilated areas, etc.) to collect external temperature data at a set period, generating second temperature data (including the temperature value of each measurement point and its location information / number). The existing temperature acquisition module 120 generates first temperature data indoors.

[0040] The ambient temperature screening module 131 judges and screens the two types of data, obtains the maximum indoor temperature value from the first temperature data, and obtains the minimum outdoor temperature value from the second temperature data. If and only if the minimum outdoor temperature value is less than the maximum indoor temperature value, the temperature difference is calculated, and difference data is generated based on the temperature difference, the calculation time, and the corresponding outdoor position coordinates.

[0041] After receiving the difference data, the cooling adjustment module 132 queries the preset pipeline data information (which may include the auxiliary pipeline / heat exchange branch, valve address, pump group number, manifold port, etc. that physically corresponds to each outdoor measuring point) based on the outdoor location identifier, and generates the adjustment pipeline data information accordingly.

[0042] The regulation module 133 generates an adjustment instruction based on the adjustment pipeline data information and issues it for execution, opens (or preferentially opens wide) the outer branch valve corresponding to the difference data, connects the pipeline to the water pipeline module 112, and forms a priority loop from indoor to the coldest outdoor point. As needed, the non-priority branch is limited / closed, or the target frequency and minimum operating time of the associated pump are synchronously set to ensure that the effective flow is concentrated on the priority branch.

[0043] This optimizes the circulation flow: water tank 110, water pipe module 112 (indoor heat absorption), end connection, selected auxiliary pipe branch (outdoor heat release), and return water to water tank 110. In subsequent sampling cycles, the system repeats these steps to dynamically maintain or switch the preferred branch. This also utilizes basic hysteresis and minimum hold time strategies to avoid frequent jitter.

[0044] If the subsequent detection shows that the outdoor minimum temperature value is ≥ the indoor maximum temperature value, the ambient temperature screening module 131 does not output the difference data, the adjustment module 133 no longer triggers the branch switching, and the system automatically returns to the normal cycle (or maintains the current stable operating conditions), ensuring that no additional energy consumption and hydraulic disturbance are generated under no-profit conditions.

[0045] When and only when the minimum outdoor temperature is lower than the maximum indoor temperature, the outer branch corresponding to the lowest outdoor temperature is always selected for access to achieve a heat exchange path that maximizes the temperature difference; under the premise of unchanged pump power, a lower return water temperature and a faster room temperature drop rate can be obtained.

[0046] The outdoor temperature is generally lower at night. The connection of the coldest branch makes nighttime pre-cooling more efficient and reduces the peak load of the air-conditioning compressor during the day the next day, thereby achieving the goals of peak shaving and valley filling and energy saving and consumption reduction.

[0047] Releasing heat in cooler, usually better ventilated exterior locations reduces instantaneous heat accumulation in a single area during high daytime hours, helping to alleviate the heat cluster phenomenon near the building.

[0048] A method for constructing a smart city intelligent information technology is proposed, which is applied to any of the smart city intelligent information technology construction systems 100 described above. The method includes: S101. During a non-peak period, obtain temperature data at various locations in a building to generate first temperature data.

[0049] S102: Compare the first temperature data with a temperature threshold, and if the first temperature data is greater than the temperature threshold, generate a temperature adjustment command.

[0050] S103. According to the temperature adjustment command, the water pump of the water pipe and the water pump of the auxiliary pipe are controlled to operate so as to circulate water in the water tank 110, the water pipe and the auxiliary pipe to cool the building.

[0051] Please refer to Figure 1-4 In this embodiment, first, after entering the off-peak period of electricity, the system automatically starts the temperature acquisition process, collects indoor temperature data in real time through sensors distributed in various locations of the building, and summarizes the collection results to generate the first temperature data, which can accurately reflect the thermal environment status of different areas of the building.

[0052] The system then compares the first temperature data with a pre-set temperature threshold. If it detects an area within the building with a temperature above the threshold, it determines that cooling is currently required and immediately generates a temperature adjustment command. Conversely, if the temperature at all collection points remains below the threshold, the system remains in standby mode until the next detection cycle, thus avoiding initiating a cooling cycle without actual demand.

[0053] After generating the temperature adjustment command, the system enters the execution phase. The control unit simultaneously sends a start signal to the water pump in the water pipe and the auxiliary pipe, creating a closed loop between the water tank 110, the water pipe, and the auxiliary pipe. At the start of the cycle, the cooler water in the water tank 110 is pumped to the water pipe module 112 installed inside the building. The water flows along the pipe through various heat exchange areas, exchanging heat with the indoor air and the surrounding structure, absorbing excess heat from the building. At the end of the water pipe, the heated water enters the auxiliary pipe module 111 through a connecting port and flows back through this module to the water tank 110.

[0054] During the cycle, the system dynamically determines whether to continue operation based on continuously collected first temperature data. When the internal building temperature drops below the threshold, the system automatically stops both water pumps, ending the current cooling cycle and entering standby mode, awaiting the next low-temperature period. Through a closed-loop control system of monitoring, judging, executing, and feedback, the system ensures precise and efficient cooling while avoiding energy waste.

[0055] This method limits the cooling process to off-peak hours, enabling building pre-cooling during periods of low electricity prices or surplus electricity supply. This reduces reliance on air conditioning units during peak hours, lowers overall operating costs, and helps shift grid loads to peak and valley.

[0056] The cooling cycle is only started when the indoor temperature is detected to be higher than the preset threshold, avoiding blind operation of the water pump and circulation system when cooling is not needed, significantly reducing ineffective energy consumption.

[0057] The water pipe modules 112 are laid in multiple areas inside the building. The circulating water can evenly absorb heat from different areas during its flow, avoiding local overheating and improving the overall indoor temperature balance and comfort.

[0058] By pre-cooling at night to lower the starting point of the daytime room temperature, this method effectively reduces the long-term high-load operation and frequent start-stop of the air-conditioning compressor, reduces the equipment wear rate, and extends the service life of the air-conditioning system.

[0059] This method releases heat smoothly inside the building during the nighttime low period, which helps reduce instantaneous heat accumulation around the building during the day and has a positive effect on improving the local microclimate and alleviating the heat island effect.

[0060] In at least one embodiment of the present application, the method further includes: S104: If the temperature is not greater than the temperature threshold, perform temperature comparison in the next cycle.

[0061] Please refer to Figure 1-4In this embodiment, after entering the off-peak period, the system starts the temperature acquisition module 120, collects data from each location in the building, and summarizes the data into first temperature data (such as statistics such as the maximum value / average value of the partition).

[0062] The temperature comparison module 121 compares the first temperature data with a preset temperature threshold: If there is a measurement point / statistic greater than the threshold, a temperature adjustment command is generated and the cooling execution link is entered. If it is not greater than the threshold, the system does not start the water pump, but enters the next cycle of temperature comparison.

[0063] When the value is not greater than the threshold, the system enters the next cycle according to the preset cycle parameters or event trigger (such as the next hour, the next time slot): At the next cycle, temperature data is collected again and the threshold comparison is repeated throughout the off-peak period, repeating until demand exceeds the threshold or the off-peak period ends. (In specific embodiments, hysteresis and minimum waiting time can be set to avoid frequent determinations due to small fluctuations. The above parameters are only for implementation options.) Once the temperature in a certain period exceeds the threshold, the system starts the water pipe pump and the auxiliary pipe pump according to the temperature adjustment command, and establishes a closed cycle of water tank 110 - water pipe - auxiliary pipe to implement cooling; the temperature is periodically reviewed during operation, and when it drops to the threshold or below, the operation is stopped and the system returns to the threshold comparison waiting state.

[0064] When the off-peak period ends and no threshold is exceeded, the system will naturally exit the night (or valley) cycle; the cycle will repeat the next time it enters the off-peak period.

[0065] When the indoor temperature does not reach the threshold, no water pump will be started and only the next cycle monitoring will be entered, which effectively avoids invalid cycles and directly reduces nighttime power consumption.

[0066] Periodic judgment (assisted by hysteresis) avoids start-stop triggered by sensor noise or instantaneous fluctuations, and reduces hydraulic shock and control jitter caused by frequent switching of pumps / valves.

[0067] In at least one embodiment of the present application, the specific step of comparing the first temperature data with a temperature threshold and generating a temperature adjustment command if the first temperature data is greater than the temperature threshold further includes: S201: Calculate an average value of a difference between the first temperature data and the temperature threshold to obtain a first cooling value.

[0068] S202: Calculate the temperature value that can be lowered during the off-peak period according to the first temperature reduction value to obtain an expected temperature reduction value.

[0069] S203: Calculate the working power of the water pumps in the water pipes and the auxiliary pipes according to the expected temperature drop value to generate power data.

[0070] S204: Generate the temperature adjustment command according to the power data.

[0071] Please refer to Figure 1-4 In this embodiment, the system first processes the difference between the first temperature data and the temperature threshold. Specifically, the system calculates the average of the excess temperature from all temperature measurement points above the threshold to obtain a first cooling value, which reflects the average temperature difference that needs to be reduced within the building.

[0072] The system then evaluates the cooling capacity achievable during the current off-peak period, converting the initial cooling value into an expected cooling value. This conversion takes into account the duration of the off-peak period, the heat exchange efficiency of the water circulation system, and the equipment's operating limits, resulting in a target cooling value that meets cooling requirements while remaining within the equipment's tolerances.

[0073] Next, the system calculates the operating power of the water pumps in the water pipes and auxiliary pipes based on the expected temperature drop, generating corresponding power data. This process converts the target temperature drop into the required water flow rate. Combined with the pump's characteristic curve, the optimal power setting is determined, ensuring that the circulating water effectively removes indoor heat without wasting energy or overloading equipment.

[0074] Finally, the control unit generates temperature adjustment commands based on the power data and sends them to the water pipe pump and the auxiliary pipe pump, causing both pumps to operate at the set power, driving a stable circulating water flow between the water tank 110, the water pipe, and the auxiliary pipe. During this circulation process, the water flow continuously transfers indoor heat to the outdoors or to low-temperature water bodies, gradually lowering the internal temperature of the building. When the system detects that the temperature has fallen below the threshold, it automatically stops the water pumps, completing the cooling task.

[0075] By calculating the first cooling value and combining it with the available cooling capacity during off-peak hours, the cooling range is accurately matched to actual demand.

[0076] Matching pump power according to expected cooling value reduces unnecessary energy consumption and maximizes the effective cooling amount per unit power consumption.

[0077] The calculation formula for the first cooling value is as follows: , ; The expected temperature drop is calculated as follows: , ; The power data is calculated as follows: , , , .

[0078] in, is the indoor measuring point temperature, is the temperature threshold, The off-peak available time. is the equivalent heat capacity, The upper limit of sustainable heat exchange of the equipment, is the specific heat of water, is the water density, Set the temperature for the supply and return water, For lift, is the pump system efficiency.

[0079] In at least one embodiment of the present application, the method further includes: S301: Acquire the ambient temperature around the building to generate second temperature data.

[0080] Difference data is generated according to the second temperature data and the first temperature data.

[0081] S303: Obtain pipeline information corresponding to the difference data coordinates according to the difference data, and generate adjusted pipeline data information.

[0082] S304 , generating an adjustment instruction according to the adjustment pipeline data information, and executing the adjustment instruction so that the pipeline corresponding to the difference data is connected to the water pipeline module 112 .

[0083] Please refer to Figure 1-4 In this embodiment, first, the system continuously obtains the ambient temperature at several locations around the building to form second temperature data with space identification.

[0084] The control unit then fuses the two types of data to generate differential data. This differential data captures the potential temperature difference between the indoor hot end and the outdoor cold end, as well as their spatial correspondence. A common implementation involves taking the difference between the maximum value in the first temperature data and the minimum value in the second temperature data, or by subtracting each indoor sampling point from its corresponding outdoor sampling point by zone, to produce a set of temperature difference values ​​with coordinates (or numbers).

[0085] Next, based on the coordinates of the difference data, the system retrieves the pipeline information corresponding to the coordinates in the preset equipment information table, such as the corresponding auxiliary pipeline / heat exchange branch, manifold port, valve address and associated pump group number, and generates the adjustment pipeline data information accordingly.

[0086] Finally, the control unit generates and executes a regulation instruction based on the regulation pipeline data. It opens (or preferentially opens further) the valve of the outer branch indicated by the difference data, connecting this branch to the circulation path of the water pipe module 112. If necessary, it also adjusts the operating parameters of the associated pump to ensure that the effective flow preferentially flows through this low-temperature branch for heat release. From this point on, the water tank 110, the water pipe module 112 (indoor heat absorption), the end connection, the connected outdoor low-temperature branch (outdoor heat release), and the return water to the water tank 110 form a closed loop characterized by the maximum temperature difference path. The control unit periodically reviews the indoor temperature. If the target is reached, the current regulation cycle is terminated. If the target is not reached, the connected branch is maintained or updated, completing the closed loop of perception-determination-mapping-execution-review.

[0087] By generating difference data between the second temperature data and the first temperature data and connecting to the corresponding outdoor low-temperature branch accordingly, the circulating water obtains a larger temperature difference drive at the same flow rate, the return water temperature is lower, more heat is taken away per unit time, and the temperature drops faster.

[0088] Only the branches corresponding to the difference data and with the greatest heat release advantage are connected, limiting or avoiding the participation of inefficient branches, concentrating effective flow, reducing the ineffective work of the pump and unnecessary pressure drop losses in the pipeline network, and improving energy efficiency.

[0089] Low temperatures are more likely to appear outdoors at night. Priority is given to connecting to low-temperature branches and superimposing low-cost electricity operation, creating the effect of efficient pre-cooling at night and peak shaving during the day, reducing the peak load and energy cost of the air-conditioning host.

[0090] By prioritizing heat absorption at indoor hot spots and heat release at outdoor cold spots, the room temperature drop time is shortened, the temperature difference between different areas is reduced, and the overall comfort is improved.

[0091] In at least one embodiment of the present application, the specific step of generating difference data based on the second temperature data and the first temperature data includes: S3021. Filter out a minimum value from the second temperature data to obtain a minimum temperature value.

[0092] S3022. Filter out a maximum value from the first temperature data to obtain a maximum temperature value.

[0093] S3024. Calculate the difference between the minimum temperature value and the maximum temperature value to generate the difference data.

[0094] Please refer to Figure 1-4 In this embodiment, the system analyzes the second temperature data from the building's exterior, selects the lowest value from the temperature values ​​at multiple external monitoring points, and determines this value as the minimum temperature. The external location corresponding to the minimum temperature value is typically the area most conducive to heat release under the current environmental conditions.

[0095] Next, the system processes the first temperature data from the building, selecting the highest value from the multiple indoor temperature collection points and determining that value as the maximum temperature. The location corresponding to the maximum temperature is the area in the building that most needs cooling.

[0096] After determining the external minimum temperature value and the internal maximum temperature value, the system will perform a difference operation on the two to obtain a difference data.

[0097] By simultaneously locating the maximum temperature point indoors and the minimum temperature point outdoors, the system can prioritize establishing a heat exchange channel between these two points to maximize heat exchange efficiency.

[0098] The difference data directly represents the maximum temperature difference currently available, enabling the water circulation system to obtain a greater temperature driving force at the same flow rate, shortening the cooling time, and improving the cooling effect per unit energy consumption.

[0099] Prioritize cooling the hottest indoor areas to avoid local overcooling or uneven heating and cooling caused by average cooling, and improve overall indoor comfort.

[0100] In at least one embodiment of the present application, the specific steps before calculating the difference between the minimum temperature value and the maximum temperature value and generating the difference data further include: S3023: Compare the minimum temperature value with the maximum temperature value. If the minimum temperature value is less than the maximum temperature value, calculate the difference data.

[0101] Please refer to Figure 1-4 In this embodiment, the system uses the ambient temperature monitoring module 130 and the temperature acquisition module 120 to obtain second temperature data around the building and first temperature data inside the building, respectively. Within the same acquisition cycle, the system selects the lowest temperature point from the second temperature data and determines it as the minimum temperature value. Simultaneously, the system selects the highest temperature point from the first temperature data and determines it as the maximum temperature value.

[0102] After obtaining the minimum and maximum temperature values, the system immediately performs a comparison. If the minimum temperature is indeed lower than the maximum temperature, it means that the outdoor temperature is lower than the indoor hotspot, and the conditions for heat transfer are met. Only then will the system proceed to the next step, calculating the temperature difference between the two and generating the difference data.

[0103] Conversely, if the comparison result shows that the minimum temperature is not lower than the maximum temperature, it means that the current outdoor temperature conditions are insufficient to effectively remove indoor heat and may even cause reverse heat flow. To avoid invalid or unfavorable cycles, the system will directly skip the difference calculation step and maintain the current operating state until the next collection cycle to make another judgment.

[0104] By adding this validity comparison step before the difference calculation, the system can ensure that subsequent heat exchange control is only performed when there is a sufficient temperature difference, making the cooling process more accurate, efficient and safe.

[0105] The difference calculation is started only when the outdoor minimum temperature is indeed lower than the indoor maximum temperature, avoiding invalid cycles when there is no temperature difference or the temperature difference is reversed.

[0106] During low-peak electricity hours, low-temperature spots are more likely to appear outdoors. Effectiveness comparison can efficiently screen out valuable heat exchange opportunities at night, further amplifying the pre-cooling effect.

[0107] The calculation formula for the difference data is as follows: ,in, is the difference data, is the maximum temperature value, is the maximum temperature value.

[0108] In at least one embodiment of the present application, the method further includes: S305: If the minimum temperature value is not less than the maximum temperature value, control the water pump of the water pipe and the water pump of the auxiliary pipe to operate according to the temperature adjustment command.

[0109] Please refer to Figure 1-4 In this embodiment, during operation, the system simultaneously acquires first temperature data from within the building and second temperature data from the surrounding area, and selects the maximum indoor temperature and the minimum outdoor temperature, respectively. Under normal circumstances, if the minimum outdoor temperature is lower than the maximum indoor temperature, the system prioritizes establishing a heat exchange path based on the maximum temperature difference to improve cooling efficiency.

[0110] However, during certain periods, the minimum outdoor temperature may not be lower than the maximum indoor temperature, that is, the external environment cannot provide effective cooling conditions.

[0111] When the comparison result shows that the minimum outdoor temperature value is greater than or equal to the maximum indoor temperature value, the system will not wait for the external conditions to improve, but will directly start the water pump of the water pipe and the water pump of the auxiliary pipe according to the generated temperature adjustment command, and build a basic water circulation with the water tank 110, the water pipe and the auxiliary pipe as the loop.

[0112] The water continues to flow through the various distribution pipes within the building, absorbing indoor heat and transferring it to the auxiliary pipes and water tank 110 for buffering. Although the external cooling source conditions are not ideal at this time, through continuous circulation, the indoor heat can be evenly distributed and the room temperature can be gradually lowered, avoiding the temperature from rising further due to waiting. As the circulation continues, the system continuously monitors new indoor and outdoor temperature data. Once it detects that the outdoor temperature conditions have become favorable, it can smoothly switch to the cooling mode that prioritizes the maximum temperature difference, thereby maintaining a continuous and stable cooling effect under different environmental conditions.

[0113] Even if the external ambient temperature does not provide a cooling advantage, the system can continue to transfer indoor heat through the basic water circulation mode, avoiding temperature accumulation caused by long waiting times.

[0114] When external conditions improve, the system can seamlessly switch to the optimal heat exchange path, taking into account both immediate cooling and efficient operation.

[0115] Running the basic cycle during off-peak electricity consumption hours not only takes advantage of low-priced electricity, but also cools the indoor environment in advance, providing a temperature buffer for daytime peak shaving.

[0116] In at least one embodiment of the present application, the method further includes: S401: Obtain the wind speed of the building's surrounding environment and generate surrounding wind speed data.

[0117] S402: Calculate temperature drop data at various locations in the surrounding environment based on the surrounding environment wind speed data and the second temperature data.

[0118] S403: Filter out the maximum value from the cooling data to generate a coordinated cooling value.

[0119] S404: Generate collaborative cooling pipeline data according to the pipeline corresponding to the collaborative cooling value.

[0120] S405: Generate a collaborative cooling command based on the collaborative cooling pipeline data.

[0121] S406: Execute the coordinated cooling command to connect the pipe corresponding to the coordinated cooling pipe data to the auxiliary pipe or the water pipe, and adjust the water pump power of the auxiliary pipe and the water pipe.

[0122] Please refer to Figure 1-4 In this embodiment, the system first obtains the wind speed of the building's surrounding environment in the same control period and generates the surrounding wind speed data with space identification (synchronized with the aforementioned second temperature data) to ensure that the wind speed and temperature data are comparable.

[0123] The control unit then combines the wind speed data with the secondary temperature data to calculate cooling data for each measuring point outside the building. This cooling data essentially quantifies the location's ability to release heat: the lower the temperature and the higher the wind speed, the better the convective heat transfer conditions, and the higher the cooling data.

[0124] After completing the global calculation, the system selects the maximum value from the cooling data, obtaining the coordinated cooling value and its corresponding location identifier. This location is the point with the optimal external heat release conditions for the current period.

[0125] Based on this information, the control unit retrieves the corresponding pipeline information for that location (such as the corresponding auxiliary pipeline / heat exchange branch, valve address, manifold port, and associated pump group number), generates coordinated cooling pipeline data, and further generates a coordinated cooling command: it instructs the optimally located pipeline to be connected to the auxiliary pipeline or water pipe circulation path, and simultaneously sets the power (or variable frequency / valve position ratio) settings for the two water pumps, so that the effective flow rate preferentially releases heat through the optimal branch. After the command is issued, the circuit forms a closed path connecting the water tank 110, the water pipe (heat absorption indoors), the end connection, the optimal air cooling / low-temperature branch (heat dissipation outdoors), and the return water to the water tank 110. During operation, the system periodically rechecks the wind speed and temperature. If the optimal point changes, it can smoothly switch the connected branch and pump power while meeting the minimum hold time / hysteresis settings.

[0126] Taking wind speed and outside temperature into account, the actual cooling potential is calculated and the route is selected accordingly, so that the circulating water always passes through the location with the strongest convective heat transfer, the return water temperature is lower and the cooling is faster.

[0127] Buildings around buildings experience uneven temperatures and wind speeds due to orientation, shading, and wind tunnel effects. This method periodically recalculates cooling data and selects the maximum value, dynamically locking in the optimal location.

[0128] Not only does it switch to the optimal branch, but it also gives simultaneous power settings for the two water pumps, concentrating the effective flow on the most favorable heat release path; it removes more sensible heat at the same power consumption, and achieves higher cooling output per unit energy consumption.

[0129] Nighttime / off-peak hours often have lower temperatures and better wind conditions, which can quickly form effective pre-cooling and significantly reduce the load and demand of the air-conditioning host during the next day's peak period.

[0130] The calculation formula for the cooling data is: , is the outdoor wind speed at that location, is the outdoor temperature at the location, is the current maximum indoor temperature value, , when dimensional scaling is required: (The constant k is determined by calibration).

[0131] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0132] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A smart city intelligent information construction system, characterized in that: The system comprises: A water storage module includes a water tank, an auxiliary pipe module connected to the water tank, and a water pipe module, wherein the auxiliary pipe module is connected to the end of the water pipe module, and the water pipe module is laid in the building; a temperature acquisition module, configured to acquire temperature data at various locations within the building to generate first temperature data; a temperature comparison module, which compares the first temperature data with a temperature threshold, and generates a temperature adjustment command if the temperature is greater than the temperature threshold; The cooling module executes the temperature adjustment command to control the water pipe module and the auxiliary pipe module to circulate water in the water tank, the water pipe module and the auxiliary pipe module to cool the building.

2. The smart city intelligent information construction system according to claim 1 is characterized in that: The system further comprises: An ambient temperature monitoring module, configured to monitor the ambient temperature of the building to generate second temperature data; an ambient temperature screening module, screening out data from the second temperature data that is smaller than the maximum value in the first temperature data and is located at the minimum value in the second temperature data, to obtain difference data; A cooling adjustment module, which obtains pipeline data information of a corresponding position of the auxiliary pipeline module or the water pipeline module according to the difference data, and generates adjustment pipeline data information; The adjustment module generates an adjustment instruction according to the adjustment pipeline data information, and executes the adjustment instruction to connect the pipeline corresponding to the difference data to the water pipeline module.

3. A smart city intelligent information construction method, applied to the smart city intelligent information construction system according to any one of claims 1-2, characterized in that: The method comprises: During off-peak hours, obtaining temperature data at various locations in the building to generate first temperature data; Comparing the first temperature data with a temperature threshold, and generating a temperature adjustment command if the first temperature data is greater than the temperature threshold; According to the temperature adjustment command, the water pump of the water pipe and the water pump of the auxiliary pipe are controlled to operate so as to circulate water in the water tank, the water pipe and the auxiliary pipe to cool the building.

4. The method for constructing smart city intelligent information technology according to claim 3, characterized in that: The method further comprises: If it is not greater than the temperature threshold, the temperature comparison of the next cycle is performed.

5. The method for constructing smart city intelligent information technology according to claim 3, characterized in that: The specific step of comparing the first temperature data with a temperature threshold and generating a temperature adjustment command if the first temperature data is greater than the temperature threshold further includes: Calculating an average value of a difference between the first temperature data and the temperature threshold to obtain a first cooling value; Calculating the temperature value that can be lowered during the off-peak period based on the first temperature reduction value to obtain an expected temperature reduction value; Calculate the working power of the water pumps in the water pipes and auxiliary pipes according to the expected temperature drop value to generate power data; The temperature adjustment command is generated according to the power data.

6. The method for constructing smart city intelligent information technology according to claim 3, characterized in that: The method further comprises: Acquiring the ambient temperature around the building to generate second temperature data; generating difference data according to the second temperature data and the first temperature data; Obtaining pipeline information corresponding to the difference data coordinates based on the difference data, and generating adjusted pipeline data information; An adjustment instruction is generated according to the adjustment pipeline data information, and the adjustment instruction is executed so that the pipeline corresponding to the difference data is connected to the water pipeline module.

7. The method for constructing smart city intelligent information technology according to claim 6, characterized in that: The specific steps of generating difference data based on the second temperature data and the first temperature data include: Filtering out a minimum value from the second temperature data to obtain a minimum temperature value; Filter out the maximum value from the first temperature data to obtain a maximum temperature value; The difference between the minimum temperature value and the maximum temperature value is calculated to generate the difference data.

8. The method for constructing smart city intelligent information technology according to claim 7, characterized in that: The specific steps before calculating the difference between the minimum temperature value and the maximum temperature value and generating the difference data further include: The minimum temperature value is compared with the maximum temperature value, and if the minimum temperature value is less than the maximum temperature value, the difference data is calculated.

9. The method for constructing smart city intelligent information technology according to claim 8, characterized in that: The method further comprises: If the minimum temperature value is not less than the maximum temperature value, the water pump of the water pipe and the water pump of the auxiliary pipe are controlled to operate according to the temperature adjustment command.

10. The method for constructing smart city intelligent information technology according to claim 6, characterized in that: The method further comprises: Obtain the wind speed around the building and generate surrounding wind speed data; Calculating temperature drop data at various locations in the surrounding environment based on the surrounding environment wind speed data and the second temperature data; Filtering the maximum value from the cooling data to generate a coordinated cooling value; Generate collaborative cooling pipeline data according to the pipeline corresponding to the collaborative cooling value; generating a collaborative cooling command according to the collaborative cooling pipeline data; The coordinated cooling command is executed to connect the pipeline corresponding to the coordinated cooling pipeline data to the auxiliary pipeline or the water pipeline, and the water pump power of the auxiliary pipeline and the water pipeline is adjusted.

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