Thermal energy regulation method and system based on internet of things big data

Abstract

The application relates to a heat energy regulation method and system based on Internet of Things big data, which is applied to the field of central heating, and the method comprises the following steps: acquiring address information and demand information of user terminals corresponding to a current heat exchange station; calculating three-dimensional space coordinates of different user terminals according to the address information of the user terminals; storing a plurality of three-dimensional space coordinates located in the same building into a preset scheduling database; dividing the three-dimensional space coordinates in the scheduling database into normal coordinates with heating turned on and abnormal coordinates with heating not turned on; calculating and determining target normal coordinates with a difference between the target normal coordinates and the abnormal coordinates being less than a preset value in the building; increasing the opening degree of a first electric control flow valve corresponding to the target normal coordinates to improve the acquisition of heat energy by the user terminal corresponding to the target normal coordinates. The application has the technical effect of making up for the objective differences of different users due to different heating environments, thereby improving the rationality of heat energy distribution and the heating effect.

Description

Technical Field

[0001] This application relates to the technical field of centralized heating, and in particular to a thermal energy regulation method and system based on Internet of Things big data. Background Technology

[0002] Central heating refers to a heating method in which a heat medium (usually hot water or steam) generated by one or more centralized heat sources (such as thermal power plants, district boiler rooms, heat pump stations, industrial waste heat, etc.) is transported through a public heating network to the terminal heat dissipation equipment of multiple independent buildings (such as residences, office buildings, schools, etc.) in a certain area to meet their heating needs.

[0003] In related technologies, when heating a target area, the heat energy delivered to the target area is usually distributed evenly to different target users. Taking a residential community as an example, the heat energy is first transmitted to the community heat exchange station, and then the community heat exchange station distributes the heat energy evenly to different buildings and households, thereby realizing the distribution of heat energy.

[0004] In the process of developing this application, the inventors discovered that the technology has at least the following problems: In actual heating scenarios, the heating environment faced by different households often varies. For example, households whose neighbors have turned on their heating and households whose neighbors have not turned on their heating often have significantly different heating energy requirements under the premise of ensuring the same comfortable indoor temperature. The above-mentioned regulation method of evenly distributing heat energy often cannot make up for the above differences, resulting in poor actual heating effect. Summary of the Invention

[0005] To help optimize thermal energy regulation and improve overall heating performance, this application provides a thermal energy regulation method and system based on Internet of Things big data.

[0006] In a first aspect, this application provides a thermal energy regulation method based on Internet of Things big data, employing the following technical solution: The method is based on a heating system, which includes a heat source, a heat exchange station, and several user terminals. The thermal energy of the heat source is transmitted to the heat exchange station through a primary pipeline network, and then to several user terminals through several secondary pipeline networks; each of the heating ends of the several secondary pipeline networks is equipped with a first electrically controlled flow valve for controlling the flow rate; the method includes: Obtain the address information and demand information of the user terminal corresponding to the current heat exchange station. The address information includes the building information, floor information and room number information of the user. The demand information includes whether the user has turned on the heating. Calculate the three-dimensional spatial coordinates of different user terminals based on the address information of the user terminals; After uniquely binding the three-dimensional spatial coordinates of the user terminal with the first electrically controlled flow valve corresponding to the user terminal, the three-dimensional spatial coordinates of several units located in the same building are stored in a preset scheduling database. Based on the aforementioned demand information, the three-dimensional spatial coordinates within the scheduling database are divided into normal coordinates where heating is on and abnormal coordinates where heating is not on. If there are abnormal coordinates in a building, calculate and determine the target normal coordinates in the building whose difference from the abnormal coordinates is less than a preset value. The target normal coordinates are the normal coordinates of users within the influence range of the abnormal coordinates that have not been turned on for heating. Increase the opening of the first electrically controlled flow valve corresponding to the normal coordinates of the target to improve the thermal energy acquisition of the user terminal corresponding to the normal coordinates of the target. In a specific implementation scheme, the three-dimensional spatial coordinates include horizontal coordinates representing latitude and longitude and vertical coordinates representing height; the calculation of the three-dimensional spatial coordinates of different user terminals based on the address information of the user terminals includes: obtaining standard room type information corresponding to the building information, the standard room type information including the floor plan and floor height of the room type; determining the house coordinate area where the user terminal is located based on the address information and room type information of the user terminal; establishing the minimum bounding rectangle of the house coordinate area, and setting the center point coordinates of the minimum bounding rectangle as the horizontal coordinate in the three-dimensional spatial coordinates; calculating the height range of the house where the user terminal is located based on the floor information and the room type information; and setting the center point coordinates of the height range of the house as the vertical coordinate in the three-dimensional spatial coordinates. In a specific feasible implementation, obtaining the room type information corresponding to the building information includes: obtaining the initial room type information corresponding to the building information; removing the room type information corresponding to the first floor and the top floor of the building from the initial room type information; and determining the room type information of one floor as the standard room type information from the removed initial room type information.

[0007] In one specific implementation scheme, increasing the opening of the first electrically controlled flow valve corresponding to the target normal coordinates includes: increasing the opening of the first electrically controlled flow valve corresponding to the target normal coordinates based on the difference between the target normal coordinates and the abnormal coordinates; the difference between the target normal coordinates and the abnormal coordinates is inversely proportional to the amount of increase in the opening of the first electrically controlled flow valve. In one specific implementation scheme, a temperature detection unit is provided at the return end of the secondary pipe network; after increasing the opening of the first electrically controlled flow valve corresponding to the target normal coordinate, the scheme further includes: at preset time intervals, detecting the detection value of the temperature detection unit corresponding to the target normal coordinate; comparing the energy consumption difference between the detection value and the current heating temperature value with a preset standard return temperature range, wherein the energy consumption difference is used to reflect the temperature difference between the user's indoor and outdoor environment; if the energy consumption difference is lower than the standard return temperature range, increasing the opening of the first electrically controlled flow valve corresponding to the target normal coordinate to increase the heating capacity; if the energy consumption difference is higher than the standard return temperature range, decreasing the opening of the first electrically controlled flow valve corresponding to the target normal coordinate to decrease the heating capacity. In one specific implementation scheme, the heating end of the primary pipeline is equipped with a second electrically controlled flow valve for controlling the flow rate; after dividing the three-dimensional spatial coordinates in the scheduling database into normal coordinates for heating and abnormal coordinates for non-heating based on the demand information, the scheme further includes: comparing the number of abnormal coordinates with a preset standard range; if the number of abnormal coordinates is greater than the standard range, the opening of the second electrically controlled flow valve is reduced accordingly to reduce the heat energy supply from the heat source to the heat exchange station, wherein the number of abnormal coordinates and the opening of the second electrically controlled flow valve are inversely proportional. In a specific implementation scheme, after dividing the three-dimensional spatial coordinates in the scheduling database into normal coordinates where heating is on and abnormal coordinates where heating is not on, based on the demand information, the method further includes: periodically querying the status information of the first electrically controlled flow valve corresponding to the normal coordinates and the abnormal coordinates; the status information includes whether the first electrically controlled flow valve is in an open or closed state; updating the normal coordinates where the first electrically controlled flow valve is in a closed state to the abnormal coordinates; and updating the abnormal coordinates where the first electrically controlled flow valve is in an open state to the normal coordinates. Secondly, this application provides a thermal energy control system based on Internet of Things big data, employing the following technical solution: the control system is based on a heating system, which includes a heat source, a heat exchange station, and several user terminals. The thermal energy of the heat source is transmitted to the heat exchange station through a primary pipeline network, and then to several user terminals through several secondary pipeline networks; each of the heating ends of the several secondary pipeline networks is equipped with a first electrically controlled flow valve for controlling the flow rate; the system includes: The user information acquisition module is used to acquire the address information and demand information of the user terminal corresponding to the current heat exchange station. The address information includes the building information, floor information and room number information of the user. The demand information includes whether the user has turned on the heating. The spatial coordinate calculation module is used to calculate the three-dimensional spatial coordinates of different user terminals based on the address information of the user terminals. The user data storage module is used to uniquely bind the three-dimensional spatial coordinates of the user terminal to the first electrically controlled flow valve corresponding to the user terminal, and then store the three-dimensional spatial coordinates of several units located in the same building into a preset scheduling database. The coordinate type determination module is used to divide the three-dimensional spatial coordinates in the scheduling database into normal coordinates with heating on and abnormal coordinates with heating off, based on the demand information. The influence range determination module is used to calculate and determine the target normal coordinates in a building where the difference between the abnormal coordinates and the abnormal coordinates is less than a preset value if there are abnormal coordinates in a certain building. The target normal coordinates are the normal coordinates of users within the influence range of the abnormal coordinates where heating has not been turned on. The heating ratio adjustment module is used to increase the opening of the first electrically controlled flow valve corresponding to the target normal coordinate, so as to improve the heat energy acquisition of the user terminal corresponding to the target normal coordinate. Thirdly, this application provides a computer device that adopts the following technical solution: it includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as any of the above-mentioned thermal energy control methods based on Internet of Things big data.

[0008] Fourthly, this application provides a computer-readable storage medium that employs the following technical solution: storing a computer program capable of being loaded by a processor and executing any of the above-mentioned thermal energy control methods based on Internet of Things big data.

[0009] In summary, this application has the following beneficial technical effects: 1. During actual heating, the positional relationship between the three-dimensional spatial coordinates of different households is used as the data basis. The impact range of users whose heating has not been turned on is accurately determined through data calculation. The heat energy supply to affected users is increased by remotely increasing the opening of the first electrically controlled flow valve. This makes up for the objective differences between different users due to their different heating environments, thereby improving the rationality of heat energy distribution and heating effect. 2. After adjusting the first electrically controlled flow valve, the temperature detection unit is used to detect the set of the secondary pipe network return temperature. This allows the dispatch center to adjust the user's heating by controlling the first electrically controlled flow valve, and then verify the heating effect after adjustment based on the detection results of the temperature detection unit. If the verification result shows that the heating effect does not meet the expectations, the heating amount is adjusted again by adjusting the opening of the first electrically controlled flow valve based on the actual verification result. This is to ensure that the indoor temperature of the user can be kept stable within the standard heating temperature range as much as possible, thereby further improving the precision and control effect of heat energy regulation. 3. The dispatch center can assess its actual heat energy demand based on the number of abnormal coordinates, and then adjust the heat energy supplied by the heat source. This reduces the possibility of heat energy waste caused by the heat source supplying heat exchange center exceeding the heat energy demand of the heat exchange center, and further improves the precision and control effect of heat energy regulation. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the thermal energy control system in the embodiments of this application.

[0011] Figure 2 This is a flowchart of the thermal energy regulation method based on IoT big data in the embodiments of this application.

[0012] Figure 3 This is a schematic diagram illustrating the mapping relationship between the scheduling database and the building user terminals in this embodiment of the application.

[0013] Figure 4 This is a schematic diagram illustrating the calculation of horizontal coordinates in three-dimensional spatial coordinates, as described in the embodiments of this application.

[0014] Figure 5 This is a structural block diagram of the thermal energy control system based on IoT big data in the embodiments of this application.

[0015] Attached reference numerals: 501, User information acquisition module; 502, Spatial coordinate calculation module; 503, User data storage module; 504, Coordinate type determination module; 505, Influence range determination module; 506, Heating ratio adjustment module. Detailed Implementation

[0016] The following is in conjunction with the appendix Figure 1-5 This application will be described in further detail.

[0017] This application discloses a thermal energy regulation method based on Internet of Things big data.

[0018] Reference Figure 1 The heat energy regulation method is based on a heating system, which includes a control center 1, a heat source 2 (the heat energy of the heat source can come from sources such as thermal power plants, district boiler rooms, heat pump stations, industrial waste heat, etc.), a heat exchange station 3, and several user terminals 4. The heat energy of the heat source 2 is transmitted to the heat exchange station 3 through a primary pipeline network 5, and then to several user terminals 4 through several secondary pipeline networks 6. The control center 1 is used to control and schedule the heat distribution during the heating process. Taking a residential community as an example, with high-temperature water as the heat medium, the heat exchange station 3 is the heat exchange center set up in the community, and the user terminals 4 are the residents in the community. The heat exchange center receives the high-temperature water transported by the heat source 2 through the primary pipeline network 5, and then, after heat exchange through high-efficiency heat exchange equipment, circulates the high-temperature water through the secondary pipeline network 6 to the houses of the residents in the community to achieve heating.

[0019] Furthermore, each of the secondary pipe networks 6 has a first electrically controlled flow valve 7 installed at its heating end for controlling flow rate, and a temperature detection unit 8 installed at its return end. Each of the first electrically controlled flow valves 7 and temperature detection units 8 is associated with a different user terminal 4, meaning each household in the community has a unique first electrically controlled flow valve 7 and temperature detection unit 8. Closing the first electrically controlled flow valve 7 stops heating for that household, while opening it starts heating for that household. The opening degree of the first electrically controlled flow valve 7 determines the heating flow rate per unit time; a larger opening degree results in a higher heating flow rate per unit time. The more heat energy supplied over time; the temperature detection unit 8 can be a temperature sensor, which is set at the return end of the secondary pipe network 6 to detect the temperature value of the high-temperature water when it returns to the secondary pipe network 6 after circulating and heating inside the residential building; a second electrically controlled flow valve 9 is set at the heating end of the primary pipe network 5 to control the flow rate, and the second electrically controlled flow valve 9 controls the proportion of heat energy allocated by the heat source to the heat exchange station; the first electrically controlled flow valve 7 and the second electrically controlled flow valve 9 are both remotely controlled by the control center 1 through the Internet, and the temperature information detected by several temperature detection units 8 is also uniformly transmitted remotely to the control center 1 in real time through the Internet.

[0020] Reference Figure 2 The method includes the following steps: S10: Obtain the address information and demand information of the user terminal corresponding to the current heat exchange station.

[0021] Specifically, the address information includes the building, floor, and room number where the user is located, and the demand information includes whether the user has activated heating; for example: Unit 14 (building information), 7th floor (floor information), room 701 (room number information) has activated heating (demand information); the above address information and demand information can be pre-entered by staff based on the building, floor, and room number information within the community corresponding to the current heat exchange station, as well as whether the corresponding residents have activated heating.

[0022] S20, calculate the three-dimensional spatial coordinates of different user terminals based on the address information of the user terminals; After obtaining the address information of the user terminals, the control center calculates the three-dimensional spatial coordinates of different user terminals based on their address information. The three-dimensional spatial coordinates include horizontal coordinates representing latitude and longitude and vertical coordinates representing altitude. Specifically, the geographical coordinates of the heat exchange station and different buildings can be pre-entered by staff or obtained by the control center using existing map software. Based on the geographical coordinates of the buildings, the horizontal coordinates of latitude and longitude of different user terminals can be determined, and then the vertical coordinates of the user terminals can be determined based on their floor information.

[0023] S30: After uniquely binding the three-dimensional spatial coordinates of the user terminal with the first electrically controlled flow valve corresponding to the user terminal, store the three-dimensional spatial coordinates of several units located in the same building into the preset scheduling database.

[0024] Reference Figure 3 Specifically, by storing the three-dimensional coordinates of user terminals in the scheduling database, the location of the user terminals is digitized. In other words, the three-dimensional spatial coordinates stored in the scheduling database essentially constitute a digital mapping of user terminals in different buildings to the control center. Then, by uniquely binding the three-dimensional spatial coordinates of the user terminals with the first electrically controlled flow valve corresponding to the user terminals, the control center can accurately regulate the heating status of different user terminals by controlling different first battery flow valves.

[0025] It should be noted that storing the three-dimensional spatial coordinates of buildings within the same building separately is primarily due to the fact that users without heating typically only affect adjacent users within the same building. Furthermore, considering that in real-world residential scenarios, two adjacent buildings may actually be adjacent to each other, meaning they share a common wall. In such cases, the heating relationship between residents in adjacent buildings can also be affected. Therefore, when determining whether three-dimensional spatial coordinates belong to the same building, the control center can also consider adjacent buildings that are in an adjacent state as a single building based on the horizontal coordinates in the three-dimensional spatial coordinates corresponding to the user's terminal.

[0026] S40, based on the demand information, divides the three-dimensional spatial coordinates in the database into normal coordinates where heating is on and abnormal coordinates where heating is not on.

[0027] Specifically, after constructing the digital mapping of user terminals, the control center will classify and label different spatial three-dimensional coordinates according to whether different user terminals have heating on. For example, the three-dimensional spatial coordinates corresponding to user terminals with heating on are marked as normal coordinates, and the three-dimensional spatial coordinates corresponding to user terminals without heating on are marked as abnormal coordinates. It should be noted that in actual scenarios, user terminals without heating on usually correspond to user terminals in vacant and uninhabited houses.

[0028] S50, if abnormal coordinates exist in a certain building, calculate and determine the target normal coordinates in that building whose difference from the abnormal coordinates is less than a preset value.

[0029] Specifically, after distinguishing between normal and abnormal coordinates, the control center first queries the dispatch database to check for abnormal coordinates in different buildings, that is, to check whether there are any residents in each building who have not turned on their heating. If no abnormal coordinates are found, it means that all users in the building have their heating on normally, and heating is then provided to all users in the building according to the normal heating logic. In other words, the control center opens the first electrically controlled flow valve corresponding to all users in the building to the preset opening degree. If abnormal coordinates are found, it means that there are users in the building who have not turned on their heating. Because of the close proximity (such as neighbors separated by a wall horizontally or neighbors separated by a wall upstairs or downstairs), users who have turned on their heating will be affected by nearby users who have not turned on their heating, resulting in their actual heating effect being difficult to reach the theoretical heating effect. Therefore, the control center can quickly determine the target normal coordinates of the residents in the building whose heating may be affected due to their proximity to users who have not turned on their heating by calculating the normal coordinates in the building whose difference from the abnormal coordinates is less than the preset value.

[0030] S60, increase the opening of the first electrically controlled flow valve corresponding to the normal coordinates of the target.

[0031] Specifically, the dispatch center increases the opening of the first electrically controlled flow valve corresponding to the target's normal coordinates to increase the heat supply to the residents at those coordinates. The specific increase in opening value can be preset by the staff. This increases the heat supply to compensate for the heating impact on residents who are too close to those whose heating is not yet turned on, reducing the heating differences caused by different heating environments for different users, thereby improving the actual heating effect and user experience.

[0032] During actual heating, the dispatch center uses the positional relationship between the three-dimensional spatial coordinates of different households as the data basis, and then accurately determines the impact range of users whose heating has not been turned on through data calculation. Then, it increases the heat supply to affected users by remotely increasing the opening of the first electrically controlled flow valve, making up for the objective differences between different users due to their different heating environments, thereby improving the rationality of heat distribution and heating effect.

[0033] In one embodiment, to help reduce the computational burden on the dispatch center, the step of calculating the three-dimensional spatial coordinates of different user terminals based on the address information of the user terminals can be specifically performed as follows: Reference Figure 4The dispatch center first obtains the standard room type information corresponding to the building information, including the room layout and floor height; this information can be pre-entered by staff. Then, the dispatch center determines the coordinate region F of the building where the user terminal is located based on the user terminal's address and room type information. It then establishes the minimum bounding rectangle M of the building coordinate region F and sets the coordinates (x, y) of the center point O of the minimum bounding rectangle M as the horizontal coordinate in three-dimensional space. Next, it calculates the height range of the building where the user terminal is located based on the floor and room type information, and sets the coordinates of the center point of the height range as the horizontal coordinate in three-dimensional space. The vertical coordinates in the label; specifically, let the floor be n and the floor height be a, then the height range of the user's house is (n-1)a to na, and the coordinates of the center point in the height range are na-0.5a; each user terminal is assigned a unique three-dimensional spatial coordinate point value, and this point value is theoretically close to the center point of the user's house in three-dimensional state. Then, the user terminal data affected by heating is calculated using this point value. Compared with the method of calculating based on the three-dimensional spatial data packet corresponding to the user's house, the amount of data processing is greatly reduced, thereby reducing the computing pressure and computing power requirements of the dispatch center.

[0034] In one embodiment, considering that in actual community planning scenarios, the design layout of the first and top floors of a building may differ from other floors due to their special locations; for example, the first floor may have an open area, resulting in a different number and type of units on the first floor compared to other floors; to reduce the impact of such differences in floor layout, the step of obtaining the unit type information corresponding to the building information can be specifically performed as follows: After obtaining the initial apartment type information corresponding to the building information, the dispatch center first searches for and removes the apartment type information corresponding to the first floor and top floor of the building from the initial apartment type information. Then, from the removed initial apartment type information, it randomly or determines the apartment type information of a preset floor as the standard apartment type information. This reduces the possibility that the three-dimensional spatial coordinates calculated by the dispatch center based on the first floor or top floor apartment type of the building may differ significantly from the actual three-dimensional spatial coordinates of the user's house, thus affecting the dispatch center's thermal energy control results. This improves the accuracy of the dispatch center's thermal energy control.

[0035] In one embodiment, considering that the distances between several users affected by heating and those without heating may differ, and that different distances typically result in varying degrees of impact on different users; therefore, to improve the precision and effectiveness of heat energy regulation, the step of increasing the opening of the first electrically controlled flow valve corresponding to the target normal coordinate can be specifically executed as follows: First, the difference between the target normal coordinates of affected users and the abnormal coordinates of users whose heating has not been turned on is calculated. Based on the aforementioned scheme, this difference is the vector difference between the three-dimensional spatial coordinates corresponding to the target normal coordinates and the three-dimensional spatial coordinates corresponding to the abnormal coordinates. Then, the dispatch center increases the opening of the first electrically controlled flow valve according to the preset adjustment standard for the electrically controlled flow valve opening based on the difference between the target normal coordinates and the abnormal coordinates. The preset adjustment standard for the electrically controlled flow valve opening can be pre-entered by staff and includes different differences between the target normal coordinates and the abnormal coordinates. The corresponding table shows a correlation between the opening adjustment values. In this table, the difference between the target normal coordinates and abnormal coordinates is inversely proportional to the increase in the opening of the first electrically controlled flow valve. That is, the larger the difference between the target normal coordinates and abnormal coordinates, the smaller the increase in the opening of the first electrically controlled flow valve. This results in users who are closer to those without heating being connected receiving more heat energy from the control center. This achieves the effect of precise control of heat energy based on the distance between affected users and those without heating being connected, thereby improving the precision of the control center's heat energy management and the heating effect.

[0036] In one embodiment, to further improve the precision and effectiveness of thermal energy regulation, after increasing the opening of the first electrically controlled flow valve corresponding to the target's normal coordinates in the dispatch center, the following steps can also be performed: At preset intervals, the temperature detection unit corresponding to the normal coordinates of the target is used to detect the detection value, and the energy consumption difference between the detected value and the current heating temperature is calculated. The current heating temperature is the temperature of the high-temperature water supplied to the user terminal after heat exchange at the current heat exchange center. Newton's law of cooling states that the rate of change of an object's temperature is directly proportional to the difference between its own temperature and the temperature of its surrounding environment; that is, the greater the temperature difference between the user's indoor temperature and the outside temperature, the faster its heat energy consumption efficiency. Corresponding to the heating scenario applied in this application, since the outdoor environment corresponding to the heating is usually below zero degrees Celsius, the user... The higher the temperature inside a house, the greater the temperature difference between the indoor and outdoor environments, and the more heat is consumed per unit time. Therefore, the energy consumption difference between the measured value and the current heating temperature can reflect the temperature difference between the user's indoor and outdoor environment. That is, the larger the energy consumption difference, the greater the heat consumption inside the user's house, and the greater the heat consumption, the greater the temperature difference between the user's indoor and outdoor environment (higher indoor temperature). Conversely, the smaller the energy consumption difference, the less heat consumption inside the user's house, and the less the heat consumption, the smaller the temperature difference between the user's indoor and outdoor environment (lower indoor temperature).

[0037] The control center then compares the energy consumption difference with the preset standard return temperature range. The standard return temperature range corresponds to the target room temperature for the current heating system. The target room temperature is the room temperature that the user's indoor temperature should theoretically reach after heating. A table showing the correspondence between different standard return temperature differences and different target room temperatures can be preset by staff and entered into the control center, which can then access it as needed. If the energy consumption difference is within the preset standard return temperature range, it indicates that the user's indoor temperature is exactly within the preset standard heating temperature range, and no adjustment to the opening of the first electrically controlled flow valve is required. If the energy consumption difference is below the standard return temperature range, it indicates that the user's indoor temperature is below the preset standard heating temperature range. In this case, the opening of the first electrically controlled flow valve corresponding to the target normal coordinate is increased to increase the heating output and compensate for the user's heating needs, ensuring that the user's indoor temperature after heating is as high as possible. The system reaches the standard heating temperature range. If the detected value is higher than the standard return temperature range, it indicates that the user's indoor temperature is higher than the preset standard heating temperature range. In this case, the opening of the first electrically controlled flow valve corresponding to the target normal coordinate is reduced to decrease the heating output, thereby reducing the user's indoor temperature to the preset standard heating temperature range. By adjusting the first electrically controlled flow valve and then using the temperature detection unit to detect the secondary network return temperature, the dispatch center can adjust the user's heating by controlling the first electrically controlled flow valve, and then verify the adjusted heating effect based on the detection results of the temperature detection unit. If the verification result shows that the heating effect does not meet expectations, the heating output is adjusted again by adjusting the opening of the first electrically controlled flow valve based on the actual verification result, so as to stabilize the user's indoor temperature within the standard heating temperature range as much as possible, thereby further improving the precision and control effect of heat energy regulation.

[0038] In one embodiment, to further improve the precision and effectiveness of thermal energy regulation, after dividing the three-dimensional spatial coordinates in the scheduling database into normal coordinates with heating on and abnormal coordinates with heating off based on demand information, the following steps can also be performed. The dispatch center calculates the number of abnormal coordinates in the dispatch database, which represents the number of users without heating. This number is compared to a preset standard number. If the number of abnormal coordinates exceeds the standard number, it indicates a large number of users without heating. In this case, the heat exchange center's demand for heat energy will decrease accordingly. The dispatch center can reduce the opening of the second electrically controlled flow valve based on the number of abnormal coordinates to reduce the heat energy supply from the heat source to the heat exchange center. There is an inverse relationship between the number of abnormal coordinates and the opening of the second electrically controlled flow valve; that is, the more abnormal coordinates corresponding to users without heating, the lower the heat energy demand of the heat exchange station. Therefore, the heat energy supply from the heat source to the heat exchange center can be reduced, and the opening of the second electrically controlled flow valve can be decreased accordingly. Thus, the dispatch center can adjust the heat energy supply from the heat source according to its actual needs, reducing the possibility of heat energy waste caused by the heat source supplying more heat energy than the heat exchange center requires, thereby further improving the precision and effectiveness of heat energy regulation.

[0039] In one embodiment, considering that the existence of abnormal coordinates directly affects the dispatch center's thermal energy control scheme; and in actual scenarios, there may be situations where equipment damage or users temporarily turn on heating cause changes in some abnormal coordinates, resulting in a mismatch between the dispatch center's control scheme and the actual scenario, thus affecting the thermal energy control effect; in order to improve the matching degree between the dispatch center's control scheme and the actual scenario, after dividing the three-dimensional spatial coordinates in the dispatch database into normal coordinates for heating on and abnormal coordinates for heating not on according to the demand information, the following steps can also be performed: The dispatch center periodically queries the status information of the first electrically controlled flow valve corresponding to normal and abnormal coordinates. The status information includes whether the first electrically controlled flow valve is open or closed. Specifically, normal coordinates correspond to users whose heating is normally activated, and their corresponding first electrically controlled flow valve should be open; abnormal coordinates correspond to users whose heating is not activated, and their corresponding first electrically controlled flow valve should be closed. The dispatch center then updates the normal coordinates where the first electrically controlled flow valve is closed to abnormal coordinates, and updates the abnormal coordinates where the first electrically controlled flow valve is open to normal coordinates, simultaneously feeding back the update information to staff, thereby achieving [the desired effect]. This system enables timely updates to the actual heating status, improving the alignment between the dispatch center's control plans and the actual situation. Furthermore, the updated information fed back to staff helps them understand changes in the heating situation promptly. For example, if a user's coordinates change from normal to abnormal, it may indicate a pipe malfunction; conversely, if a user's coordinates change from abnormal to normal, it may mean the user has activated heating or the pipe has malfunctioned. Based on this information, staff can quickly go to the site to troubleshoot the problem or verify the status of newly activated users, thereby further improving the dispatch center's efficiency in managing heat energy.

[0040] Figure 2 This is a flowchart illustrating a thermal energy control method based on IoT big data in one embodiment. It should be understood that, although... Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows; unless explicitly stated otherwise, there is no strict order requirement for the execution of these steps, and they can be executed in other orders; and Figure 2 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0041] Based on the above method, this application also discloses a thermal energy control system based on Internet of Things (IoT) big data. This control system is based on a heating system, which includes a heat source, a heat exchange station, and several user terminals. The thermal energy from the heat source is transmitted to the heat exchange station through a primary pipeline network, and then to several user terminals through several secondary pipeline networks. Each of the heating ends of the secondary pipeline networks is equipped with a first electrically controlled flow valve for controlling the flow rate. Figure 5 As shown, the system includes the following modules: The user information acquisition module 501 is used to acquire the address information and demand information of the user terminal corresponding to the current heat exchange station. The address information includes the building information, floor information and room number information where the user is located, and the demand information includes whether the user has turned on the heating. The spatial coordinate calculation module 502 is used to calculate the three-dimensional spatial coordinates of different user terminals based on the address information of the user terminals. The user data storage module 503 is used to uniquely bind the three-dimensional spatial coordinates of the user terminal to the first electrically controlled flow valve corresponding to the user terminal, and then store several three-dimensional spatial coordinates located in the same building into a preset scheduling database. The coordinate type determination module 504 is used to divide the three-dimensional spatial coordinates in the scheduling database into normal coordinates for heating and abnormal coordinates for heating not being turned on, based on the demand information. The influence range determination module 505 is used to calculate and determine the target normal coordinates in a building where the difference between the abnormal coordinates and the abnormal coordinates is less than a preset value if there are abnormal coordinates in a certain building. The target normal coordinates are the normal coordinates of the users within the influence range of the abnormal coordinates where heating has not been turned on. The heating ratio adjustment module 506 is used to increase the opening degree of the first electrically controlled flow valve corresponding to the target normal coordinate, so as to improve the heat energy acquisition of the user terminal corresponding to the target normal coordinate.

[0042] In one embodiment, the three-dimensional spatial coordinates include horizontal coordinates representing latitude and longitude and vertical coordinates representing height. The spatial coordinate calculation module 502 is specifically used to calculate the three-dimensional spatial coordinates of different user terminals based on the user terminal's address information, including: obtaining standard room type information corresponding to the building information, the standard room type information including the room's floor plan and floor height; determining the house coordinate area where the user terminal is located based on the user terminal's address information and room type information; establishing the minimum bounding rectangle of the house coordinate area and setting the center point coordinates of the minimum bounding rectangle as the horizontal coordinate in the three-dimensional spatial coordinates; calculating the height range of the house where the user terminal is located based on the floor information and room type information; and setting the center point coordinates within the height range of the house as the vertical coordinate in the three-dimensional spatial coordinates.

[0043] In one embodiment, the spatial coordinate calculation module 502 is further used to obtain the initial room type information corresponding to the building information; remove the room type information corresponding to the first floor and the top floor of the building from the initial room type information; and determine the room type information of one floor as the standard room type information from the removed initial room type information.

[0044] In one embodiment, the heating ratio adjustment module 506 is specifically used to increase the opening degree of the first electrically controlled flow valve corresponding to the target normal coordinate based on the difference between the target normal coordinate and the abnormal coordinate; the difference between the target normal coordinate and the abnormal coordinate is inversely proportional to the increase in the opening degree of the first electrically controlled flow valve.

[0045] In one embodiment, a temperature detection unit is provided at the return end of the secondary pipeline network; the heating ratio adjustment module 506 is also used to detect the detection value of the temperature detection unit corresponding to the target normal coordinate at preset intervals; compare the energy consumption difference between the detection value and the current heating temperature value with the preset standard return temperature range; if the energy consumption difference is lower than the standard return temperature range, increase the opening of the first electrically controlled flow valve corresponding to the target normal coordinate to increase the heating capacity; if the energy consumption difference is higher than the standard return temperature range, decrease the opening of the first electrically controlled flow valve corresponding to the target normal coordinate to reduce the heating capacity.

[0046] In one embodiment, a second electrically controlled flow valve for controlling the flow rate is provided at the heating end of the primary pipeline network; the heating ratio adjustment module 506 is also used to compare the number of abnormal coordinates with a preset standard number range; if the number of abnormal coordinates is greater than the standard number, the opening degree of the second electrically controlled flow valve is reduced accordingly to reduce the heat energy supply from the heat source to the heat exchange station, and the number of abnormal coordinates and the opening degree of the second electrically controlled flow valve are inversely proportional.

[0047] In one embodiment, the heating ratio adjustment module 506 is further configured to periodically query the status information of the first electrically controlled flow valve corresponding to the normal coordinates and abnormal coordinates; the status information includes whether the first electrically controlled flow valve is in an open state or a closed state; update the normal coordinates of the first electrically controlled flow valve in the closed state to the abnormal coordinates; update the abnormal coordinates of the first electrically controlled flow valve in the open state to the normal coordinates.

[0048] This application also discloses a computer device.

[0049] Specifically, the computer device can be a desktop computer, laptop computer, handheld computer, or cloud server. This computer device may include, but is not limited to, a processor and memory, with the memory storing a computer program capable of being loaded by the processor and executing the vehicle management method of the aforementioned car rental platform. The processor and memory can be connected via a bus or other means. The processor can be a Central Processing Unit (CPU). The processor can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, graphics processing units (GPUs), embedded neural network processing units (NPUs) or other dedicated deep learning coprocessors, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0050] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the above embodiments of this application. The processor executes various functional applications and data processing by running the non-transitory software programs, instructions, and modules stored in the memory, thereby implementing the methods in the above embodiments. The memory may include a program storage area and a data storage area, wherein the program storage area may store the operating system and at least one application program required for a function; the data storage area may store data created by the processor, etc. Furthermore, the memory may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0051] This application also discloses a computer-readable storage medium.

[0052] Specifically, the computer-readable storage medium is used to store a computer program, which, when executed by a processor, implements the methods described in the above-described method embodiments. Those skilled in the art will understand that implementing all or part of the processes in the methods described in the above-described embodiments of this application can be accomplished by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0053] This specific embodiment is merely an explanation of the present invention and is not intended to limit the invention. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they are within the scope of the claims of the present invention.

Claims

1. A thermal energy regulation method based on Internet of Things big data, characterized in that, The method is based on a heating system, which includes a heat source, a heat exchange station, and several user terminals. The heat energy from the heat source is transferred to the heat exchange station through a primary pipeline network, and then to the several user terminals through several secondary pipeline networks. Each of the heating ends of the secondary pipeline networks is equipped with a first electrically controlled flow valve for controlling the flow rate. The method includes: Obtain the address information and demand information of the user terminal corresponding to the current heat exchange station. The address information includes the building information, floor information and room number information of the user. The demand information includes whether the user has turned on the heating. Calculate the three-dimensional spatial coordinates of different user terminals based on the address information of the user terminals; After uniquely binding the three-dimensional spatial coordinates of the user terminal with the first electrically controlled flow valve corresponding to the user terminal, the three-dimensional spatial coordinates of several units located in the same building are stored in a preset scheduling database. Based on the aforementioned demand information, the three-dimensional spatial coordinates within the scheduling database are divided into normal coordinates where heating is on and abnormal coordinates where heating is not on. If abnormal coordinates exist within a certain building, calculate and determine the target normal coordinates of that building whose difference from the abnormal coordinates is less than a preset value; Increase the opening of the first electrically controlled flow valve corresponding to the normal coordinates of the target to improve the thermal energy acquisition of the user terminal corresponding to the normal coordinates of the target.

2. The method according to claim 1, characterized in that, The three-dimensional spatial coordinates include horizontal coordinates representing latitude and longitude and vertical coordinates representing altitude; The calculation of the three-dimensional spatial coordinates of different user terminals based on the address information of the user terminals includes: Obtain the standard room type information corresponding to the building information, the standard room type information including the floor plan and floor height of the room; The coordinates of the house where the user terminal is located are determined based on the user terminal's address and room type information; Establish the minimum bounding rectangle of the house coordinate region, and set the center point coordinates of the minimum bounding rectangle as the horizontal coordinates in three-dimensional space. Calculate the height range of the room where the user terminal is located based on the floor information and the room type information; The coordinates of the center point within the height range of the building are set as the vertical coordinates in three-dimensional space.

3. The method according to claim 2, characterized in that, Obtaining the apartment type information corresponding to the building information includes: Obtain the initial room type information corresponding to the building information; Remove the room types corresponding to the first floor and top floor of the building from the initial room type information; From the initial room type information after elimination, the room type information of one floor is determined as the standard room type information.

4. The method according to claim 2, characterized in that, Increasing the opening degree of the first electrically controlled flow valve corresponding to the normal coordinates of the target includes: The opening degree of the first electrically controlled flow valve corresponding to the normal target coordinate is increased according to the difference between the normal target coordinate and the abnormal target coordinate; the difference between the normal target coordinate and the abnormal target coordinate is inversely proportional to the increase in the opening degree of the first electrically controlled flow valve.

5. The method according to claim 1, characterized in that, A temperature detection unit is installed at the return end of the secondary pipeline network; After increasing the opening of the first electrically controlled flow valve corresponding to the normal coordinates of the target, the method further includes: At preset time intervals, the temperature detection unit detects the value of the target at the normal coordinates. The energy consumption difference between the detected value and the current heating temperature value is compared with the preset standard return temperature range. The energy consumption difference is used to reflect the temperature difference between the user's indoor and outdoor environment. If the energy consumption difference is lower than the standard return temperature range, the opening of the first electrically controlled flow valve corresponding to the target normal coordinate is increased to improve the heating capacity. If the energy consumption difference is higher than the standard return temperature range, the opening of the first electrically controlled flow valve corresponding to the target normal coordinate is reduced to decrease the heating load.

6. The method according to claim 1, characterized in that, The heating end of the primary pipeline is equipped with a second electrically controlled flow valve for controlling the flow rate. After dividing the three-dimensional spatial coordinates in the scheduling database into normal coordinates (heating is on) and abnormal coordinates (heating is not on) based on the demand information, the method further includes: Compare the number of abnormal coordinates with the preset standard range; If the number of abnormal coordinates is greater than the standard number, the opening of the second electrically controlled flow valve is reduced accordingly to reduce the heat energy supply from the heat source to the heat exchange station. The number of abnormal coordinates and the opening of the second electrically controlled flow valve are inversely proportional.

7. The method according to claim 1, characterized in that, After dividing the three-dimensional spatial coordinates in the scheduling database into normal coordinates (heating is on) and abnormal coordinates (heating is not on) based on the demand information, the method further includes: Periodically query the status information of the first electrically controlled flow valve corresponding to the normal coordinates and the abnormal coordinates; the status information includes whether the first electrically controlled flow valve is in the open or closed state. Update the normal coordinates of the first electrically controlled flow valve when it is closed to the abnormal coordinates; Update the abnormal coordinates of the first electrically controlled flow valve being in the open state to the normal coordinates.

8. A thermal energy control system based on Internet of Things big data, characterized in that, The control system is based on a heating system, which includes a heat source, a heat exchange station, and several user terminals. The heat energy from the heat source is transferred to the heat exchange station via a primary pipeline network, and then to the user terminals via several secondary pipeline networks. Each of the heating ends of the secondary pipeline networks is equipped with a first electrically controlled flow valve for controlling the flow rate. The system includes: The user information acquisition module (501) is used to acquire the address information and demand information of the user terminal corresponding to the current heat exchange station. The address information includes the building information, floor information and room number information of the user. The demand information includes whether the user has turned on the heating. The spatial coordinate calculation module (502) is used to calculate the three-dimensional spatial coordinates of different user terminals based on the address information of the user terminals; The user data storage module (503) is used to uniquely bind the three-dimensional spatial coordinates of the user terminal to the first electrically controlled flow valve corresponding to the user terminal, and then store the three-dimensional spatial coordinates of several units located in the same building into a preset scheduling database. The coordinate type determination module (504) is used to divide the three-dimensional spatial coordinates in the scheduling database into normal coordinates with heating on and abnormal coordinates with heating off, based on the demand information. The influence range determination module (505) is used to calculate and determine the target normal coordinates in a building where the difference between the abnormal coordinates and the abnormal coordinates is less than a preset value if there are abnormal coordinates in a certain building. The target normal coordinates are the normal coordinates of users within the influence range of the abnormal coordinates where heating has not been turned on. The heating ratio adjustment module (506) is used to increase the opening degree of the first electrically controlled flow valve corresponding to the target normal coordinate, so as to improve the heat energy acquisition of the user terminal corresponding to the target normal coordinate.

9. A computer device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer program is stored that can be loaded by a processor and execute the method as described in any one of claims 1 to 7.

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