A central air-conditioning load forecasting system

Abstract

The present invention discloses a central air-conditioning load prediction system. The key points of its technical solution include a monitoring subsystem, a distribution subsystem and a linkage thermostat. A linkage thermostat is respectively arranged in any merchant in the building. The linkage thermostat is communicatively connected with the distribution subsystem. An input module is arranged in the linkage thermostat. The input module is used to input merchant information when the merchant checks in. The monitoring subsystem includes a layer module and a dynamic detection module. The linkage thermostat is also communicatively connected with a heat monitor. The distribution subsystem includes an opening and closing module, a frequency conversion module and an execution module, realizing timely adjustment and control of equipment during the actual operation of the central air-conditioning based on the prediction of merchants, so as to achieve the effects of accurate prediction and energy-saving control.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring of air conditioners, and more specifically, to a central air-conditioning load prediction system. Background Art

[0002] With the rapid development of commerce and intelligence, there are more and more office buildings in cities, providing excellent office environments for employees. And with the gradual increase of shopping malls, there are also more and more integrated buildings of shopping malls and office buildings. For the current demand for public office or public leisure facilities, the use of a single air conditioner for heating or cooling in more places has been abandoned because individual air-conditioning equipment will cause huge power loads for both shopping malls and office buildings and it is difficult to control the centralized power.

[0003] Therefore, central air conditioners are currently used for heating or cooling in shopping malls and office buildings. In the prior art, usually at the initial design stage, based on the building areas of shopping malls and office buildings, it is determined how many air-conditioning main units, cooling pump stations, and terminal devices need to be built. Among them, the air-conditioning main units and cooling pump stations are the most important parameters to be set at the initial design stage. The control of terminal devices can be adjusted according to the actual number of central air conditioners required during subsequent reconstruction. Therefore, after setting the air-conditioning main units and cooling pump stations, when the building uses the central air conditioner, the operating power of the air-conditioning main units and cooling pump stations is rated, and during regulation, overall regulation is carried out, resulting in no-load or overload situations during actual use, leading to serious energy loss or serious equipment loss, and it cannot achieve adaptive adjustment according to the actual load demand. Therefore, a load prediction system that can predict the central air-conditioning load to achieve control and adjustment is urgently needed. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a central air-conditioning load prediction system to solve the technical problems existing in the prior art.

[0005] A central air-conditioning load prediction system, characterized in that: it includes a monitoring subsystem, a distribution subsystem, and a linkage temperature controller. A linkage temperature controller is respectively set in any merchant in the building. The linkage temperature controller is communicatively connected with the distribution subsystem. An input module is set in the linkage temperature controller, and the input module is used to input merchant information when the merchant checks in.

[0006] The monitoring subsystem includes a layer module and a dynamic detection module. A model strategy is configured in the layer module. The model strategy includes retrieving the construction drawings of buildings, constructing model data based on the construction drawings. The model data includes a shopping mall model and a building model, and networking with the linked temperature controllers installed by merchants in the shopping mall model and the building model to obtain merchant information entered based on the linked temperature controllers, and correspondingly forming merchant marks in the data model. A prediction strategy is configured in the dynamic detection module. The prediction strategy includes a temperature control sub-strategy and a load sub-strategy. The temperature control sub-strategy includes setting a temperature layer threshold, which represents the threshold height at which the floor height reaches to form a temperature difference between the upper and lower floors. Retrieving the model data and detecting whether the floor height reaches the temperature layer threshold, and generating distribution data based on the floor height. Detecting the actual temperature value outside based on the stratified data and generating an external domain temperature value, and generating a constant temperature threshold based on the external domain temperature value, where the constant temperature threshold represents the standard temperature value in the building;

[0007] The load sub-strategy includes retrieving the quantity and location distribution of merchant marks and the standard temperature value in the data model, forming estimated load data based on the location distribution of merchant marks, and dividing the estimated load data into load priorities according to the stratified data. The estimated load data includes merchant load information and total load information, and generating an equipment control instruction table based on the estimated load data. The equipment control instruction table is used to control the operation of the central air conditioner;

[0008] The linked temperature controller is also communicatively connected to a thermal monitor. The thermal monitor is set in the merchant and is used to monitor in real time whether the merchant has checked in or is occupied and form thermal information. The distribution subsystem includes an opening and closing module, a frequency conversion module, and an execution module. A dynamic strategy is configured in the opening and closing module. The dynamic strategy includes determining whether merchant information and thermal information are detected in the model data and controlling the linked temperature controller of the corresponding merchant to start or stop the central air conditioner, and generating an operation data table;

[0009] A frequency conversion strategy is configured in the frequency conversion module. The frequency conversion strategy includes retrieving the outlet position of the central air conditioner in the model data and matching it with the corresponding location distribution of the merchant marks, and retrieving the thermal information to generate a frequency conversion data table. The frequency conversion data table is used to adjust the control of the air outlet in the corresponding merchant mark;

[0010] An execution strategy is configured in the execution module. The execution strategy includes retrieving the operation data table and the frequency conversion data table to generate actual load data, retrieving the equipment control instruction table to determine whether the actual load data is within the range of the estimated load data. If it exceeds the estimated load data, the equipment control instruction table is corrected with the actual load data. If it is within the estimated load data, the pre-generated equipment control instruction table is used to control the operation of the equipment.

[0011] As a further improvement of the present invention, the monitoring subsystem further includes a recovery module, and the model strategy further includes identifying whether a mall model and a building model exist simultaneously in the constructed modeling data;

[0012] When there is a mall model but no building model, a bottom layer instruction is generated; when there is a building model but no mall model, a high layer instruction is generated; when there are both a mall model and a building model, a collaborative instruction is generated;

[0013] A heat recovery strategy is configured in the recovery module, and the heat recovery strategy includes:

[0014] When receiving the bottom layer instruction, retrieve the catering merchants existing in the merchant information and detect whether this merchant generates heat energy. If the merchant generates heat energy, then recover the heat energy in the merchant and provide the heat energy to the central air conditioner to adjust the outlet air temperature, or provide the heat energy to the water supply system in the mall;

[0015] When receiving the high layer instruction, retrieve the heat energy information in the merchant information, and when the heat energy value is not detected in the heat energy monitor, recover the heat energy in the corresponding merchant information and distribute it to the merchants with heat energy information;

[0016] When receiving the collaborative instruction, retrieve the catering merchants existing in the merchant information and detect whether this merchant generates heat energy. If the merchant generates heat energy, then recover the heat energy in the merchant and provide the heat energy to the central air conditioners of the merchants on the 1st to 3rd floors in the building model to adjust the outlet air temperature.

[0017] As a further improvement of the present invention, the temperature control sub-strategy specifically includes:

[0018] Identify whether there is a temperature layer threshold in the distribution data. If there is a temperature layer threshold, retrieve the number of floors existing above the temperature layer threshold, and identify and divide the temperature difference between the floors above the temperature layer threshold. Form a layer segment mark for the floors with a temperature difference. The floors marked with the layer segment mark indicate that there is a temperature difference between the floors below the floor where the temperature layer threshold is located, and also indicate the division of the temperature difference between the floors above the temperature layer threshold. Separate and statistically analyze the external domain temperature values of the floors below the layer segment mark and the temperature layer threshold, and set corresponding constant temperature thresholds based on different external domain temperature values;

[0019] It also includes retrieving the actual indoor temperature value in the merchant information, and generating a working temperature value based on the difference between the indoor temperature value and the constant temperature threshold. The working temperature value represents the working power that the central air conditioner needs to provide to make up for the temperature difference.

[0020] As a further improvement of the present invention, the air conditioner host is configured with two symmetrically arranged cooling pump stations, and the specific method for the load sub-strategy to form the estimated load data is:

[0021] After retrieving the location where the merchant mark is located, obtain the area information of the merchant, summarize the number of merchant marks and form a total area value at the same time. Based on the area information and working temperature value of the mark position where the merchant mark is located, judge the working load of the central air conditioner of the corresponding merchant to form merchant load information, and form compensation load information based on the total area value. Statistically form the total load information from the merchant load information and the compensation load information;

[0022] At the same time, retrieve the model data, and retrieve the model data in the construction drawings and symmetrically divide it with the position of the air-conditioning host to form a counterpoint distribution map. Identify whether there is a section mark at the position in the counterpoint distribution map. If there is a section mark, divide the corresponding load priority according to the section mark position. The order of load priority from high to low is that the section mark position close to the top floor is the highest priority and is divided in turn;

[0023] If there is no section mark, use the number of merchant information on both sides of the counterpoint distribution map as the priority. The side with more merchant information has a higher priority, and the side with less merchant information has a lower priority;

[0024] When generating the equipment control instruction table based on the estimated load data, the equipment control instruction table distributes the working load of the cooling pump stations on both sides of the air-conditioning host based on the priority.

[0025] As a further improvement of the present invention, when there is a monitoring domain in the thermal monitor, the monitoring domain is a time value representing the continuously monitored thermal information. The specific method of the dynamic strategy includes:

[0026] When the linkage thermostat enters the merchant information, it also enters the administrator information and the schedule. The schedule represents the working time range of the corresponding merchant, and the administrator information represents the personnel who need to work in the corresponding merchant within the schedule range;

[0027] When controlling the start or stop of the central air conditioner, the linkage thermostat of the corresponding merchant detects that the administrator enters the merchant within the schedule time range. Since there are people in the corresponding merchant information, the entry of people will be detected by the thermal monitor, and when thermal information is still detected after the monitoring domain time, a start instruction is generated to control the linkage thermostat of the corresponding merchant to control the central air conditioner of the corresponding merchant to start with the corresponding merchant load information and the equipment control instruction table with a set load;

[0028] When no thermal information is detected outside the schedule time range, a stop instruction is generated to control the central air conditioner of the corresponding merchant to stop.

[0029] As a further improvement of the present invention, the frequency conversion strategy is specifically:

[0030] The variable-frequency data table is used to record the positional relationship between the location where thermal information is generated and the air outlet. The air outlets where thermal information exists within the marked area of the corresponding merchant are marked as supply air outlets, and the air outlets where there is no thermal information at the corresponding air outlet positions are marked as temporarily closed air outlets. Thus, the supply of air to the supply air outlets is adjusted based on the variable-frequency data table, and the temporarily closed air outlets are adjusted to be closed.

[0031] A variable-frequency threshold is also configured in the variable-frequency module. The variable-frequency threshold represents the time to open the temporarily closed air outlet after thermal information appears at the temporarily closed air outlet. When thermal information appears at the temporarily closed air outlet, it is monitored whether the thermal information continues until the time value of the variable-frequency threshold. If there is still thermal information after the variable-frequency threshold, the temporarily closed air outlet is controlled to open for air supply.

[0032] As a further improvement of the present invention, the execution strategy specifically includes:

[0033] The startup data table includes the load value when the central air conditioner receives a startup instruction within the time period of the schedule. The variable-frequency data table includes the load value that changes for the central air conditioner of the corresponding merchant during variable-frequency adjustment.

[0034] When a thermal mark appears in the corresponding merchant information and a startup instruction is formed, the startup data table and the variable-frequency data table are retrieved, so as to predict the load value of the corresponding merchant within the working time range of the corresponding schedule, and predict the actual load data in the overall data model. Based on the predicted actual load data, it is judged whether the equipment control instruction table formed based on the estimated load data can carry the corresponding actual load data. If it cannot carry the corresponding actual load data, the equipment control instruction is corrected, and the equipment is adjusted in advance.

[0035] As a further improvement of the present invention, a correction threshold is also configured in the execution module. The correction threshold represents the time interval for continuously correcting the equipment control instruction table. The execution strategy specifically further includes: forming an analog signal at the correction threshold, and based on the analog signal, simulating whether the corrected load data of the central air conditioner of the corresponding merchant in the model data is within the actual load data when the equipment control instruction is corrected. If it is adjusted to exceed the actual load data range, an assignment signal is generated, and the simulated corrected load data is assigned to the actual load data, and the equipment control instruction table is corrected again with the actual load data. If it is still within the actual load data range, a rejection signal is generated. If it is adjusted to the estimated load data range, a reset signal is generated, and the central air conditioner is controlled to operate with the equipment control instruction table corresponding to the estimated load data.

[0036] As a further improvement of the present invention, a storage module is further included in the monitoring subsystem. The storage module is used to store merchant information entered based on the linked thermostat, and generate a correction instruction when the merchant information entered by the linked thermostat changes. The correction instruction is used to correct the estimated load data and the equipment control instruction table.

[0037] Advantages of the present invention: By setting a linked thermostat in the merchant to count whether the model data enters the merchant, embedding the merchant information into the model data, and monitoring the ambient temperature in the model data, the working load of the central air conditioner is predicted based on the temperature regulation to form estimated load data, and an equipment control instruction table is formed based on the estimated load data, so that when the merchant actually uses the central air conditioner, the central air conditioner equipment can be controlled according to the estimated equipment control instruction table. Under the action of the thermal monitor, it is possible to monitor whether there are people entering the merchant and form a start-up data table for predicting whether the central air conditioner needs to be used. Under the action of the frequency conversion module, the frequency conversion data table during frequency conversion control is identified, and the actual load data is formed based on the frequency conversion data table and the start-up data table. By comparing the actual load data with the estimated load data, the equipment control instruction table is corrected after comparing the actual and predicted loads, realizing timely adjustment and control of the equipment during the actual operation of the central air conditioner based on the prediction of the merchant, so as to achieve the effects of accurate prediction and energy-saving control. Detailed implementation manners

[0038] The present invention will be further described in detail below in conjunction with embodiments.

[0039] This is a detailed implementation manner of a central air conditioner load prediction system of the present invention, including a monitoring subsystem, a distribution subsystem and a linked thermostat. A linked thermostat is respectively set in any merchant in the building. The linked thermostat is communicatively connected to the distribution subsystem. An input module is set in the linked thermostat. The input module is used to input merchant information when the merchant checks in;

[0040] The monitoring subsystem includes a layer module and a dynamic detection module. A model strategy is configured in the layer module. The model strategy includes retrieving the construction drawings of buildings, constructing model data based on the construction drawings. The model data includes a shopping mall model and a building model, and networking with the linked temperature controllers installed by merchants in the shopping mall model and the building model to obtain merchant information entered based on the linked temperature controllers, and correspondingly forming merchant marks in the data model. A prediction strategy is configured in the dynamic detection module. The prediction strategy includes a temperature control sub-strategy and a load sub-strategy. The temperature control sub-strategy includes setting a temperature layer threshold, which represents the threshold height at which the floor height reaches a temperature difference between the upper and lower floors. Retrieving the model data and detecting whether the floor height reaches the temperature layer threshold, and generating distribution data based on the floor height. Detecting the actual temperature value outside based on the stratified data and generating an external domain temperature value, and generating a constant temperature threshold based on the external domain temperature value, which represents the standard temperature value in the building;

[0041] The load sub-strategy includes retrieving the quantity and location distribution of merchant marks and the standard temperature value in the data model, and forming estimated load data based on the location distribution of merchant marks. Dividing the estimated load data into load priorities according to the stratified data. The estimated load data includes merchant load information and total load information, and generating an equipment control instruction table based on the estimated load data. The equipment control instruction table is used to control the operation of the central air conditioner;

[0042] The linked temperature controller is also communicatively connected to a heat monitor. The heat monitor is set in the merchant and is used to monitor in real time whether the merchant is occupied or there are people and form heat information. The distribution subsystem includes an opening and closing module, a frequency conversion module, and an execution module. A dynamic strategy is configured in the opening and closing module. The dynamic strategy includes determining whether merchant information and heat information are detected in the model data and controlling the linked temperature controller of the corresponding merchant to start or stop the central air conditioner, and generating an operation data table;

[0043] A frequency conversion strategy is configured in the frequency conversion module. The frequency conversion strategy includes retrieving the outlet position of the central air conditioner in the model data and matching it with the corresponding location distribution of the merchant marks, and retrieving the heat information to generate a frequency conversion data table. The frequency conversion data table is used to adjust the control of the outlet in the corresponding merchant mark;

[0044] An execution strategy is configured in the execution module. The execution strategy includes retrieving the operation data table and the frequency conversion data table to generate actual load data, retrieving the equipment control instruction table to determine whether the actual load data is within the range of the estimated load data. If it exceeds the estimated load data, the equipment control instruction table is corrected with the actual load data. If it is within the estimated load data, the pre-generated equipment control instruction table is used to control the operation of the equipment.

[0045] As a further improvement of the present invention, the monitoring subsystem further includes a recovery module, and the model strategy further includes identifying whether a mall model and a building model exist simultaneously in the constructed modeling data;

[0046] When there is a mall model but no building model, a bottom-layer instruction is generated; when there is a building model but no mall model, a high-layer instruction is generated; when there are both a mall model and a building model, a collaborative instruction is generated;

[0047] A heat recovery strategy is configured in the recovery module, and the heat recovery strategy includes:

[0048] When receiving the bottom-layer instruction, retrieve the catering merchants existing in the merchant information and detect whether this merchant generates heat. If the merchant generates heat, then recover the heat in the merchant and provide the heat to the central air conditioner to adjust the outlet air temperature, or provide the heat to the water supply system in the mall;

[0049] When receiving the high-layer instruction, retrieve the heat information in the merchant information, and when the heat value is not detected in the heat monitor, recover the heat in the corresponding merchant information and distribute it to the merchants with heat information;

[0050] When receiving the collaborative instruction, retrieve the catering merchants existing in the merchant information and detect whether this merchant generates heat. If the merchant generates heat, then recover the heat in the merchant and provide the heat to the central air conditioners of the merchants on the 1st to 3rd floors in the building model to adjust the outlet air temperature.

[0051] As a further improvement of the present invention, the temperature control sub-strategy specifically includes:

[0052] Identify whether there is a temperature layer threshold in the distribution data. If there is a temperature layer threshold, retrieve the number of floors existing above the temperature layer threshold, and identify and divide the temperature difference between the floors above the temperature layer threshold. Form a layer segment mark for the floors with a temperature difference. The floors marked with the layer segment mark indicate that there is a temperature difference between the floors below the floor where the temperature layer threshold is located, and it also indicates the division of the temperature difference between the floors above the temperature layer threshold. Separate and statistically analyze the external domain temperature values of the floors below the layer segment mark and the temperature layer threshold, and set corresponding constant temperature thresholds based on different external domain temperature values;

[0053] It also includes retrieving the actual indoor temperature value in the merchant information, and generating a working temperature value based on the difference between the indoor temperature value and the constant temperature threshold. The working temperature value represents the working power that the central air conditioner needs to provide to make up for the temperature difference.

[0054] As a further improvement of the present invention, the air-conditioning main unit is configured with two symmetrically arranged cooling pump stations, and the specific method for the load sub-strategy to form the estimated load data is:

[0055] After retrieving the location of the merchant mark, obtain the area information of the merchant, summarize the number of merchant marks and form the total area value at the same time. Based on the area information and working temperature value of the mark position where the merchant mark is located, judge the working load of the central air conditioner of the corresponding merchant to form merchant load information, and form compensation load information based on the total area value. Statistically form the total load information from the merchant load information and the compensation load information;

[0056] At the same time, retrieve the model data. Retrieve the construction drawings and symmetrically divide the model data with the position of the air-conditioning host to form a counterpoint distribution map. Identify whether there is a section mark at the position in the counterpoint distribution map. If there is a section mark, divide the corresponding load priority according to the section mark position. The order of the load priority from high to low is that the section mark position close to the top floor is the highest priority and is divided in turn;

[0057] If there is no section mark, use the number of merchant information on both sides of the counterpoint distribution map as the priority. The side with more merchant information has a higher priority, and the side with less merchant information has a lower priority;

[0058] When generating the equipment control instruction table based on the estimated load data, the equipment control instruction table distributes the working load of the cooling pump stations on both sides of the air-conditioning host based on the priority.

[0059] As a further improvement of the present invention, when there is a monitoring domain in the thermal monitor, the monitoring domain is the time value representing the continuously monitored thermal information. The specific method of the dynamic strategy includes:

[0060] When the linkage thermostat enters the merchant information, it also enters the administrator information and the schedule. The schedule represents the working time range of the corresponding merchant, and the administrator information represents the personnel who need to work in the corresponding merchant within the schedule range;

[0061] When controlling the start or stop of the central air conditioner, the linkage thermostat of the corresponding merchant detects that the administrator enters the merchant within the schedule time range. Since there are people in the corresponding merchant information, the entry of the people will be detected by the thermal monitor, and when thermal information is still detected after the monitoring domain time, a start instruction is generated to control the linkage thermostat of the corresponding merchant to control the corresponding merchant to start the central air conditioner with the set load according to the merchant load information and the equipment control instruction table;

[0062] When no thermal information is detected outside the schedule time range, a stop instruction is generated to control the central air conditioner of the corresponding merchant to stop.

[0063] As a further improvement of the present invention, the variable frequency strategy is specifically as follows:

[0064] The variable-frequency data table is used to record the positional relationship between the location where thermal information is generated and the air outlet. The air outlets where thermal information exists within the marked area of the corresponding merchant are marked as supply air outlets, and the air outlets where no thermal information exists at the corresponding air outlet positions are marked as temporarily closed air outlets. Thus, the supply of air to the supply air outlets is adjusted based on the variable-frequency data table, and the temporarily closed air outlets are adjusted to be closed;

[0065] A variable-frequency threshold is also configured in the variable-frequency module. The variable-frequency threshold represents the time to open the temporarily closed air outlet after thermal information appears at the temporarily closed air outlet. After thermal information appears at the temporarily closed air outlet, it is monitored whether the thermal information continues until the time value of the variable-frequency threshold. If there is still thermal information after the variable-frequency threshold, the temporarily closed air outlet is controlled to open for air supply.

[0066] As a further improvement of the present invention, the execution strategy specifically includes:

[0067] The startup data table includes the load value when the central air conditioner receives a startup instruction within the time period of the schedule. The variable-frequency data table includes the load value of the central air conditioner corresponding to the merchant during variable-frequency adjustment;

[0068] When a thermal mark appears in the corresponding merchant information and a startup instruction is formed, the startup data table and the variable-frequency data table are retrieved, so as to predict the load value of the corresponding merchant within the working time range of the corresponding schedule, and predict the actual load data in the overall data model. Based on the predicted actual load data, it is judged whether the equipment control instruction table formed based on the estimated load data can carry the corresponding actual load data. If it cannot carry the corresponding actual load data, the equipment control instruction is corrected, and the equipment is adjusted in advance.

[0069] As a further improvement of the present invention, a correction threshold is also configured in the execution module. The correction threshold represents the time interval for continuously correcting the equipment control instruction table. The execution strategy specifically further includes: forming a simulation signal at the correction threshold, and based on the simulation signal, simulating whether the corrected load data of the central air conditioner corresponding to the merchant in the model data is within the actual load data when correcting the equipment control instruction. If it is adjusted to exceed the actual load data range, an assignment signal is generated, and the corrected load data after simulation is assigned to the actual load data, and the equipment control instruction table is corrected again with the actual load data. If it is still within the actual load data range, a rejection signal is generated. If it is adjusted to the estimated load data range, a reset signal is generated, and the central air conditioner is controlled to operate with the equipment control instruction table corresponding to the estimated load data.

[0070] As a further improvement of the present invention, a storage module is further included in the monitoring subsystem. The storage module is used to store the merchant information entered based on the linked thermostat, and generate a correction instruction when the merchant information entered by the linked thermostat changes. The correction instruction is used to correct the estimated load data and the equipment control instruction table.

[0071] Working principle and its effect:

[0072] By setting a linked thermostat in the merchant to count whether there is entry into the merchant in the model data, embedding the merchant information into the model data, and monitoring the ambient temperature in the model data, the regulation based on the temperature is obtained to predict the working load of the central air conditioner and form the estimated load data, and the equipment control instruction table is formed based on the estimated load data, so that when the merchant actually uses the central air conditioner, the central air conditioner equipment can be controlled according to the estimated equipment control instruction table. Under the action of the thermal monitor, it is possible to monitor whether there are people entering the merchant and form a starting data table for predicting whether the central air conditioner needs to be used. Under the action of the frequency conversion module, the frequency conversion data table during frequency conversion control is identified, and the actual load data is formed based on the frequency conversion data table and the starting data table. By comparing the actual load data with the estimated load data, the correction of the equipment control instruction table is achieved after comparing the actual and predicted loads, realizing the timely adjustment of the equipment during the actual operation of the central air conditioner based on the prediction of the merchant, so as to achieve the effects of accurate prediction and energy-saving control.

[0073] The above is only the preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions falling within the idea of the present invention belong to the protection scope of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A central air-conditioning load prediction system, characterized in that: It includes a monitoring subsystem, a distribution subsystem and a linkage thermostat. A linkage thermostat is respectively set in any merchant in the building. The linkage thermostat is communicatively connected with the distribution subsystem. An input module is set in the linkage thermostat, and the input module is used to input merchant information when the merchant checks in; The monitoring subsystem includes a layer module and a dynamic detection module. A model strategy is configured in the layer module. The model strategy includes retrieving the construction drawings of the building, constructing model data based on the construction drawings. The model data includes a shopping mall model and a building model, and networking the linkage thermostats installed in the merchants in the shopping mall model and the building model to obtain the merchant information input based on the linkage thermostats, and correspondingly forming merchant marks in the data model. A prediction strategy is configured in the dynamic detection module. The prediction strategy includes a temperature control sub-strategy and a load sub-strategy. The temperature control sub-strategy includes setting a temperature layer threshold, which represents the threshold height at which the floor height reaches to form a temperature difference between the upper and lower floors. Retrieving the model data and detecting whether the floor height reaches the temperature layer threshold, and generating distribution data according to the floor height. Detecting the actual temperature value outside based on the stratified data and generating an external domain temperature value, and generating a constant temperature threshold based on the external domain temperature value, and the constant temperature threshold represents the standard temperature value in the building; The load sub-strategy includes retrieving the quantity and location distribution of the merchant marks and the standard temperature value in the data model, and forming estimated load data based on the location distribution of the merchant marks, and dividing the estimated load data into load priorities according to the stratified data. The estimated load data includes merchant load information and total load information, and generating an equipment control instruction table based on the estimated load data. The equipment control instruction table is used to control the operation of the central air conditioner; The linkage thermostat is also communicatively connected with a thermal monitor. The thermal monitor is set in the merchant and is used to monitor in real time whether the merchant checks in or there is someone and form thermal information. The distribution subsystem includes an opening and closing module, a frequency conversion module and an execution module. A dynamic strategy is configured in the opening and closing module. The dynamic strategy includes judging whether merchant information and thermal information are detected in the model data and controlling the linkage thermostat of the corresponding merchant to control the start or stop of the central air conditioner, and generating an operation data table; A frequency conversion strategy is configured in the frequency conversion module. The frequency conversion strategy includes retrieving the outlet position of the central air conditioner in the model data and matching it with the corresponding location distribution of the merchant marks, and retrieving the thermal information to generate a frequency conversion data table. The frequency conversion data table is used to adjust the control of the outlet in the corresponding merchant mark; An execution strategy is configured in the execution module. The execution strategy includes retrieving the operation data table and the frequency conversion data table to generate actual load data, retrieving the equipment control instruction table to judge whether the actual load data is within the range of the estimated load data. If it exceeds the estimated load data, the equipment control instruction table is corrected with the actual load data. If it is within the estimated load data, the pre-generated equipment control instruction table is used to control the operation of the equipment; The temperature control sub-strategy specifically includes: Identify whether there is a thermocline threshold in the distributed data. If there is a thermocline threshold, retrieve the number of floors above the thermocline threshold, and identify and divide the temperature difference between the floors above the thermocline threshold. Form a segment mark for the floors with a temperature difference. The floors marked with the segment mark indicate that there is a temperature difference between the floors below the floor where the thermocline threshold is located, and also indicate the division of the temperature difference between the floors above the thermocline threshold. Separate the external domain temperature values of the floors below the segment mark and the thermocline threshold, and set corresponding constant temperature thresholds based on different external domain temperature values; It also includes retrieving the actual indoor temperature value in the merchant information, and generating a working temperature value based on the difference between the indoor temperature value and the constant temperature threshold. The working temperature value represents the temperature difference that the central air conditioner needs to provide working power to make up; The air-conditioning host is equipped with two symmetrically arranged cooling pump stations. The specific method for the load sub-strategy to form the estimated load data is as follows: After retrieving the location where the merchant mark is located, obtain the area information of the merchant, summarize the number of merchant marks and form a total area value at the same time. Judge the working load of the central air conditioner of the corresponding merchant based on the area information and the working temperature value of the marked location where the merchant mark is located to form merchant load information, and form compensation load information based on the total area value. Statistically form the total load information by combining the merchant load information and the compensation load information; At the same time, retrieve the model data, and divide the model data symmetrically with the location of the air-conditioning host in the construction drawings to form a counterpoint distribution map. Identify whether there is a segment mark at the location in the counterpoint distribution map. If there is a segment mark, divide the corresponding load priority according to the segment mark position. The order of the load priority from high to low is that the segment mark position close to the top floor has the highest priority and is divided in turn; If there is no segment mark, use the number of merchant information on both sides of the counterpoint distribution map as the priority. The side with more merchant information has a higher priority, and the side with less merchant information has a lower priority; When generating the equipment control instruction table based on the estimated load data, the equipment control instruction table distributes the working load of the cooling pump stations on both sides of the air-conditioning host based on the priority; 2. The central air-conditioning load prediction system according to claim 1, wherein: The monitoring subsystem also includes a recovery module. The model strategy also includes identifying whether there are both a mall model and a building model in the constructed modeling data; If there is a mall model but no building model, generate a bottom layer instruction. If there is a building model but no mall model, generate a high layer instruction. If there are both a mall model and a building model, generate a collaborative instruction; The recovery module is configured with a heat recovery strategy. The heat recovery strategy includes: When receiving the bottom layer instruction, retrieve the catering merchants in the merchant information and detect whether this merchant generates heat. If the merchant generates heat, recover the heat in the merchant and provide the heat to the central air conditioner to adjust the outlet air temperature, or provide the heat to the water supply system in the mall; When receiving the high layer instruction, retrieve the heat information in the merchant information. When no heat value is detected in the heat monitor, recover the heat in the corresponding merchant information and distribute it to the merchants with heat information; When a collaborative instruction is received, the catering merchants existing in the merchant information are retrieved and it is detected whether this merchant generates heat energy. If the merchant generates heat energy, the heat energy in the merchant is recovered and provided to the central air conditioner of the merchant information on the 1st to 3rd floors in the building model to adjust the air outlet temperature.

3. The central air-conditioning load prediction system according to claim 1, wherein: When a monitoring domain is configured in the thermal monitor, the monitoring domain is a time value representing the time when thermal information is continuously monitored. The specific method of the dynamic strategy includes: When the linkage thermostat enters the merchant information, it also enters the administrator information and the schedule. The schedule represents the working time range of the corresponding merchant, and the administrator information represents the personnel who need to work in the corresponding merchant within the schedule range; When controlling the central air conditioner to start or stop, the linkage thermostat of the corresponding merchant detects that the administrator enters the merchant within the schedule time range. Since the presence of personnel in the corresponding merchant information will be detected by the thermal monitor when people enter, and when thermal information is also detected after the monitoring domain time, a start instruction is generated to control the linkage thermostat of the corresponding merchant to control the corresponding merchant to start the central air conditioner with a set load according to the corresponding merchant load information and the equipment control instruction table; When no thermal information is detected outside the schedule time range, a stop instruction is generated to control the central air conditioner of the corresponding merchant to stop.

4. The central air-conditioning load prediction system according to claim 3, characterized in that: The specific frequency conversion strategy is as follows: The frequency conversion data table is used to record the relationship between the position where the thermal information is generated and the position of the air outlet. The air outlet where thermal information exists within the marked area of the corresponding merchant is marked as the air supply outlet, and the air outlet where no thermal information exists at the corresponding air outlet position is marked as the temporarily closed air outlet. Thus, the air supply of the air supply outlet is adjusted based on the frequency conversion data table, and the temporarily closed air outlet is adjusted to be closed; A frequency conversion threshold is also configured in the frequency conversion module. The frequency conversion threshold represents the time to open the temporarily closed air outlet after thermal information appears at the temporarily closed air outlet. When thermal information appears at the temporarily closed air outlet, it is monitored whether the thermal information continues to the time value of the frequency conversion threshold. If there is still thermal information after the frequency conversion threshold, the temporarily closed air outlet is controlled to open for air supply.

5. A central air-conditioning load prediction system according to claim 1, characterized in that: The specific execution strategy includes: The start-up data table includes the load value when the central air conditioner receives a start instruction within the time period of the schedule. The frequency conversion data table includes the load value change of the central air conditioner of the corresponding merchant during frequency conversion adjustment; When a thermal mark appears in the corresponding merchant information and a start instruction is formed, the start-up data table and the frequency conversion data table are retrieved, so as to predict the load value of the corresponding merchant within the working time range of the corresponding schedule, and predict the actual load data in the overall data model. Based on the predicted actual load data, it is judged whether the equipment control instruction table formed based on the estimated load data can carry the corresponding actual load data. If it cannot carry the corresponding actual load data, the equipment control instruction is corrected and the equipment is adjusted in advance.

6. The central air-conditioning load prediction system according to claim 1, characterized in that: A correction threshold is also configured in the execution module. The correction threshold represents the time interval for continuously correcting the device control instruction table. The execution strategy specifically further includes: forming an analog signal at the correction threshold, and based on the analog signal, determining whether the corrected load data of the corresponding merchant's central air conditioner in the simulation model data is within the actual load data when correcting the device control instruction. If it is adjusted to exceed the actual load data range, an assignment signal is generated to assign the simulated corrected load data to the actual load data and correct the device control instruction table again with the actual load data. If it is still within the actual load data range, a rejection signal is generated. If it is adjusted to the estimated load data range, a reset signal is generated, and the central air conditioner is controlled with the device control instruction table corresponding to the estimated load data.

7. A central air-conditioning load prediction system according to claim 1, characterized in that: The monitoring subsystem further includes a storage module. The storage module is used to store the merchant information entered based on the linked thermostat and generate a correction instruction when the merchant information entered by the linked thermostat changes. The correction instruction is used to correct the estimated load data and the device control instruction table.