An edible mushroom workshop distributed post air conditioner energy-saving intelligent control method

Abstract

This invention discloses a distributed workstation-based air conditioning energy-saving intelligent control method for edible mushroom workshops, relating to the field of air conditioning energy-saving control. The method includes the following steps: collecting workstation status data, workstation air conditioning operation data, and mushroom shelf status data from adjacent workstation areas within the edible mushroom workshop, and performing preprocessing; constructing a workstation comfort boundary characterization sequence; constructing a mushroom shelf metabolic stability boundary characterization sequence; identifying inactive states, double-boundary conflict zones, double-boundary dynamic equilibrium zones, double-boundary overlapping zones, and double-boundary zones requiring coordination; forming a distributed workstation-based air conditioning collaborative control sequence; controlling each workstation's air conditioning unit to perform localized cooling adjustment, and continuously updating the sequence. The dual-boundary coupling control method achieves workstation cooling and steady-state coordination with the mushroom shelf, combining energy saving, low disturbance, and precision advantages.

Description

Technical Field

[0001] This invention relates to the field of air conditioning energy-saving control, and in particular to a method for intelligent control of distributed workstation air conditioning in edible fungi workshops. Background Technology

[0002] Existing air conditioning control in edible mushroom workshops mostly adopts a unified air supply for the whole area or a simple zoned air supply method. It usually starts, stops and adjusts the intensity based on the temperature and humidity of the work station or the presence of personnel. It focuses more on the local comfort of the workers and lacks synchronous perception and linkage control of the breathing, heat release, transpiration and microenvironment sensitivity of the mushroom rack area adjacent to the work station.

[0003] Because existing technologies do not place the comfort requirements of the work area and the metabolic stability requirements of the mushroom rack in the same control chain, problems such as effective cooling of the work area but disturbance to the mushroom rack, disordered distribution of cooling capacity, mismatched airflow direction, and unreasonable operating time are prone to occur. It is difficult to form a continuous and coordinated control between local cooling of the work area, stability of the microenvironment of the mushroom rack, and energy saving of air conditioning. Summary of the Invention

[0004] One objective of this invention is to propose an energy-saving intelligent control method for distributed workstation air conditioning in edible mushroom workshops. This method employs a dual-boundary coupling control approach to achieve steady-state coordination between workstation cooling and mushroom rack cooling, combining the advantages of energy saving, low disturbance, and precision.

[0005] An energy-saving intelligent control method for distributed workstation air conditioning in an edible fungi workshop according to an embodiment of the present invention includes the following steps: Collect job status data, air conditioning operation data, and mushroom shelf status data of each work area in the edible mushroom workshop, and perform preprocessing to generate a standardized job-mushroom shelf control status sequence; Based on the standardized job-stool regulation state sequence, a job comfort boundary characterization sequence is generated; Based on the standardized job-shelf regulation state sequence, the characteristics of shelf respiration intensity, shelf heat release rhythm, shelf transpiration activity and shelf microenvironment sensitivity are extracted from the shelf area adjacent to each job, and a shelf metabolic stability boundary characterization sequence is generated. The job comfort boundary characterization sequence and the microbial shelf metabolic stability boundary characterization sequence are mapped to a unified spatial coordinate and a unified time index to identify inactive states, double boundary conflict zones, double boundary dynamic equilibrium zones, double boundary overlapping zones, and double boundary zones to be coordinated, thereby generating double boundary coupling characterization sequences. Based on the dual-boundary coupling characterization sequence, the setpoints for supply air temperature, supply air velocity, air direction, running time, and cooling capacity distribution of each air conditioning unit are determined, forming a distributed workstation air conditioning collaborative control sequence. Based on the distributed job-specific air conditioning collaborative control sequence, the air conditioning units of each job-specific unit are controlled to perform local cooling adjustment, and the information is continuously updated to form intelligent control information for air conditioning energy saving.

[0006] Optionally, the job status data includes job temperature, job humidity, personnel stay time, personnel activity intensity, and job airflow disturbance; the job air conditioning operation data includes current supply air temperature, current supply air speed, current air guide angle, and current running time; and the mushroom rack status data includes temperature near the mushroom rack, humidity near the mushroom rack, surface temperature rise of the mushroom rack, airflow response of the mushroom rack, and transpiration activity of the mushroom rack.

[0007] Optionally, the preprocessing includes time synchronization, spatial location calibration, outlier removal, and missing data completion.

[0008] Optionally, the generation of the job comfort boundary representation sequence includes: From the standardized post-mushroom shelf regulation status sequence, the corresponding post temperature, post humidity, personnel stay time, personnel activity intensity and post airflow disturbance of each post work area are extracted according to the post work area identification and unified time index, and a post status association sequence of the same post work area within a continuous statistical time window is established; For each work area, the offset of work temperature relative to work reference temperature and the offset of work humidity relative to work reference humidity are extracted from the work status association sequence to generate a work heat and humidity load characterization. Read the duration of personnel stay and the intensity of personnel activity in the job status association sequence, and combine them with the job temperature offset to generate a characterization of personnel's local cooling needs; Within the job status correlation sequence, the fluctuation intensity and degree of continuous change of job airflow disturbance in the current statistical time window are statistically analyzed to generate a job airflow disturbance characterization; Based on the job area identification and unified time index, the job heat and humidity load characterization, personnel local cooling demand characterization, and job airflow disturbance characterization are linked and organized to form a job comfort boundary characterization sequence corresponding to each job area.

[0009] Optionally, the generation of the skeletal metabolic stability boundary characterization sequence includes: From the standardized post-mushroom shelf control state sequence, according to the post-adjacent mushroom shelf area identifier and unified time index, extract the adjacent mushroom shelf temperature, adjacent mushroom shelf humidity, mushroom shelf surface temperature rise, mushroom shelf airflow response and mushroom shelf transpiration activity of each post-adjacent mushroom shelf area, and establish the mushroom shelf state association sequence of the adjacent mushroom shelf area of ​​the same post within a continuous statistical time window; For the adjacent mushroom rack area of ​​each post, the temperature, humidity and transpiration activity of the mushroom rack are extracted from the mushroom rack status association sequence to generate a characterization of mushroom rack respiration intensity. Read the surface temperature rise of the mushroom rack in the mushroom rack state association sequence to generate a characterization of the heat release rhythm of the mushroom rack; Transpiration activity of the mushroom racks is extracted from the state association sequence and combined with the degree of change in humidity near the mushroom racks within a continuous statistical time window to generate a characterization of transpiration activity of the mushroom racks. Based on the association sequence of the mushroom rack state, the temperature, humidity and airflow response of the mushroom rack are extracted to generate a sensitive characterization of the mushroom rack microenvironment. Based on the identification of adjacent mushroom shelf areas and a unified time index, the characteristics of mushroom shelf respiration intensity, mushroom shelf heat release rhythm, mushroom shelf transpiration activity, and mushroom shelf microenvironment sensitivity are correlated and organized to form a mushroom shelf metabolic stability boundary characterization sequence.

[0010] Optionally, the generation of the dual-boundary coupling characterization sequence includes: Based on the spatial adjacency relationship between each work area and the adjacent mushroom shelf area, the work area identifier, the adjacent mushroom shelf area identifier, and the time index are used to pair the work area comfort boundary characterization sequence with the mushroom shelf metabolic stability boundary characterization sequence to form a double boundary pairing sequence. Read the heat and humidity load characterization, local cooling demand characterization, and airflow disturbance characterization of the same work area, perform weighted summation, and generate the work comfort boundary characterization value. Read the respiratory intensity, heat release rhythm, transpiration activity, and microenvironment sensitivity of the mushroom racks in adjacent areas of the same position, perform weighted summation, and generate the metabolic stability boundary characterization value of the mushroom racks. Combining the spatial location of the work area with the spatial location of the adjacent mushroom shelf area, the work comfort boundary characterization value and the mushroom shelf metabolic stability boundary characterization value in the double boundary pairing sequence are mapped to a unified spatial coordinate and organized in a unified time index order; Under each time index, read the job comfort boundary characterization value and the mushroom shelf metabolic stability boundary characterization value of the same job work area and the adjacent mushroom shelf area of ​​the corresponding job, and calculate the absolute value and ratio of the difference between the two. When the boundary characterization value of job comfort is not greater than the job comfort activation threshold, or the boundary characterization value of scaffold metabolism stability is not greater than the scaffold stability activation threshold, it is determined to be inactive. When the boundary characterization value of job comfort is greater than the job comfort activation threshold, the boundary characterization value of mycelial metabolic stability is greater than the mycelial stability activation threshold, the absolute value of the difference between the two is greater than the conflict threshold, and the ratio between the two exceeds the preset coordination range, a double boundary conflict zone is determined. When the job comfort boundary characterization value is greater than the job comfort activation threshold and the scaffold metabolic stability boundary characterization value is greater than the scaffold stability activation threshold, the absolute difference between the two is less than the equilibrium threshold, and the change in the absolute difference under adjacent time indices is less than the equilibrium fluctuation threshold, the dual-boundary dynamic equilibrium zone is determined. When the characteristic value of the job comfort boundary is greater than the job comfort activation threshold, the characteristic value of the scaffold metabolic stability boundary is greater than the scaffold stability activation threshold, the absolute value of the difference between the two is less than the overlap threshold, and the conditions for determining the dynamic equilibrium zone of the double boundary are not met, the double boundary overlap zone is determined. When the job comfort boundary characterization value is greater than the job comfort activation threshold and the scaffold metabolic stability boundary characterization value is greater than the scaffold stability activation threshold, and the conditions for determining the double boundary conflict zone, double boundary dynamic equilibrium zone, and double boundary overlap zone are not met, the double boundary to be coordinated zone is determined. The inactive state, the double-boundary conflict zone, the double-boundary dynamic equilibrium zone, the double-boundary overlapping zone, and the double-boundary uncoordinated zone are organized to form a double-boundary coupling representation sequence.

[0011] Optionally, the generation of the distributed job-specific air conditioning coordinated control sequence includes: Based on the job area identifier and current time index, extract the inactive state, double boundary conflict area, double boundary dynamic balance area, double boundary overlap area and double boundary waiting coordination area corresponding to each job area from the double boundary coupling representation sequence, and read the job air conditioning operation data; The work areas of each position are sorted according to the status category, with the double-boundary conflict area in the first place, the double-boundary coordination area in the second place, the double-boundary overlap area in the third place, the double-boundary dynamic balance area in the fourth place, and the inactive state in the last place, forming the order of cold energy distribution. For the double-boundary conflict zone, the ratio of the job comfort boundary characterization value to the bacterial shelf metabolic stability boundary characterization value is used to determine the supply air temperature setpoint and supply air velocity setpoint. For the double-boundary coordination zone, the double-boundary overlap zone, the double-boundary dynamic balance zone, and the inactive state, the supply air temperature setpoint and the supply air velocity setpoint are determined respectively. For the double-boundary conflict zone, double-boundary uncoordinated zone, double-boundary overlapping zone, double-boundary dynamic balance zone and inactive state, respectively determine the wind direction setting value and the running time setting value; Based on the supply air temperature setpoint, supply air velocity setpoint, airflow direction setpoint, operating time setpoint, and cooling capacity distribution sequence, a distributed workstation air conditioning collaborative control sequence is formed.

[0012] Optionally, the cooling capacity allocation order is the order information formed by arranging the order of cooling delivery of the air conditioning units of each post based on the dual-boundary coupling state corresponding to each post's work area under the same time index.

[0013] Optionally, the generation of the air conditioning energy-saving intelligent control information includes: Based on the work area identifier and the current unified time index, read the supply air temperature setpoint, supply air speed setpoint, air direction setpoint, running time setpoint, and cooling capacity distribution order from the distributed work area air conditioning collaborative control sequence, and send them to the corresponding work area air conditioning unit. According to the order of cooling capacity distribution, the air conditioning units of each station are controlled to perform local cooling adjustment in sequence, and the air supply control of the current control cycle is completed according to the set values ​​of supply air temperature, supply air speed, air direction and running time. During localized cooling and regulation, continuous collection of work station status data, work station air conditioning operation data, and mushroom rack status data was conducted, and the standardized work station-mushroom rack regulation status sequence was updated. Based on the updated standardized job-scaffold regulatory state sequence, the job comfort boundary characterization sequence, the scaffold metabolic stability boundary characterization sequence, and the dual-boundary coupling characterization sequence are regenerated. Based on the updated dual-boundary coupling characterization sequence, the setpoints for supply air temperature, supply air velocity, air direction, running time, and cooling capacity allocation are redefined. The distributed job air conditioning collaborative control sequence is updated, and the local cooling adjustment cycle is continued to be executed at the next time index, forming intelligent air conditioning energy-saving control information.

[0014] Optionally, the air conditioning energy-saving intelligent control information is the control information finally output for each work area under the current unified time index, including the work area identifier, the identifier of the adjacent mushroom rack area of ​​the corresponding work area, the current status category, the supply air temperature set value, the supply air speed set value, the air guide direction set value, the running time set value, and the cooling capacity allocation order. The current status category is used to characterize the inactive state, double boundary conflict area, double boundary dynamic balance area, double boundary overlapping area, or double boundary waiting coordination area corresponding to the work area.

[0015] The beneficial effects of this invention are: Compared to existing methods that only adjust one side based on workplace temperature, humidity, or staff presence, this invention generates a standardized workplace-grown ...

[0016] This invention further identifies inactive states, dual-boundary conflict zones, dual-boundary dynamic equilibrium zones, dual-boundary overlapping zones, and dual-boundary zones requiring coordination to form a dual-boundary coupling characterization sequence. Based on this sequence, it determines the setpoints for supply air temperature, supply air velocity, airflow direction, runtime, and cooling capacity allocation, enabling air conditioning units at different workstations to implement differentiated adjustments according to their coupling states. This achieves two goals: firstly, it prioritizes cooling capacity intervention in dual-boundary conflict zones, suppressing the escalation of the conflict between workstation comfort needs and the stability requirements of the microbial culture system; secondly, it ensures that dual-boundary overlapping zones, dual-boundary dynamic equilibrium zones, and inactive states receive adjustment intensities matching their respective states, reducing disordered cooling, excessive cooling, and redundant adjustments, and enhancing the matching degree between the distributed workstation air conditioning collaborative control sequence and the actual workshop conditions.

[0017] Meanwhile, during the execution of local cooling regulation, this invention continuously updates the standardized workstation-mushroom shelf control state sequence, workstation comfort boundary characterization sequence, mushroom shelf metabolic stability boundary characterization sequence, and dual-boundary coupling characterization sequence, enabling each workstation's air conditioning unit to dynamically correct itself according to changes in workstation operation status, mushroom shelf status, and coupling status. Compared to existing static settings or coarse zoning control methods, this invention can better maintain the stability of the thermal, humid, and airflow environments in the adjacent mushroom shelf area while ensuring local comfort in the workstation's work area. Furthermore, it improves cooling capacity utilization efficiency through the coordinated control of cooling capacity distribution order and runtime setpoints. Therefore, it combines the advantages of high local regulation precision, minimal disturbance to adjacent mushroom shelf areas, and strong air conditioning energy-saving capabilities. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of an energy-saving intelligent control method for distributed workstation air conditioning in an edible fungi workshop, as proposed in this invention. Figure 2 This is a schematic diagram illustrating the generation of a dual-boundary coupling characterization sequence for a distributed workstation air conditioning energy-saving intelligent control method for edible mushroom workshops proposed in this invention. Detailed Implementation

[0019] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.

[0020] refer to Figure 1 and Figure 2 A method for energy-saving intelligent control of distributed workstation air conditioning in an edible mushroom workshop includes the following steps: Collect job status data, air conditioning operation data, and mushroom shelf status data of each work area in the edible mushroom workshop, and perform preprocessing to generate a standardized job-mushroom shelf control status sequence; Based on the standardized job-stool regulation state sequence, a job comfort boundary characterization sequence is generated; Based on the standardized job-shelf regulation state sequence, the characteristics of shelf respiration intensity, shelf heat release rhythm, shelf transpiration activity and shelf microenvironment sensitivity are extracted from the shelf area adjacent to each job, and a shelf metabolic stability boundary characterization sequence is generated. The job comfort boundary characterization sequence and the microbial shelf metabolic stability boundary characterization sequence are mapped to a unified spatial coordinate and a unified time index to identify inactive states, double boundary conflict zones, double boundary dynamic equilibrium zones, double boundary overlapping zones, and double boundary zones to be coordinated, thereby generating double boundary coupling characterization sequences. Based on the dual-boundary coupling characterization sequence, the setpoints for supply air temperature, supply air velocity, air direction, running time, and cooling capacity distribution of each air conditioning unit are determined, forming a distributed workstation air conditioning collaborative control sequence. Based on the distributed job-specific air conditioning collaborative control sequence, the air conditioning units of each job-specific unit are controlled to perform local cooling adjustment, and the information is continuously updated to form intelligent control information for air conditioning energy saving.

[0021] In this embodiment, the workstation status data includes workstation temperature, workstation humidity, personnel dwell time, personnel activity intensity, and workstation airflow disturbance. The workstation air conditioning operation data includes current supply air temperature, current supply air velocity, current air guide angle, and current operating time. The mushroom rack status data includes adjacent rack temperature, adjacent rack humidity, mushroom rack surface temperature rise, mushroom rack airflow response, and mushroom rack transpiration activity. Adjacent rack temperature is a temperature characterization of the air environment in the adjacent mushroom rack area at the current sampling time, used to reflect the thermal environment level around the mushroom rack. Adjacent rack humidity is a temperature characterization of the air environment in the adjacent mushroom rack area at the current sampling time. Humidity characterization reflects the level of humidity around the mushroom racks. The surface temperature rise of the mushroom racks is the increase in surface temperature relative to the previous sampling time, used to characterize the heat release changes of the mushroom racks themselves. The standardized job-mushroom rack control state sequence is a time-series data sequence formed by preprocessing job status data, job air conditioning operation data, and mushroom rack status data, and continuously organizing them according to a unified time index and the corresponding unit identifiers of job-mushroom racks. It is used to characterize the changes in job status, job air conditioning operation status, and mushroom rack status of the same job work area and its corresponding adjacent mushroom rack area during continuous control.

[0022] In this embodiment, preprocessing includes time synchronization, spatial location calibration, abnormal data removal, and missing data completion.

[0023] In this embodiment, the generation of the job comfort boundary representation sequence includes: From the standardized post-mushroom shelf regulation status sequence, the corresponding post temperature, post humidity, personnel stay time, personnel activity intensity and post airflow disturbance of each post work area are extracted according to the post work area identification and unified time index, and a post status association sequence of the same post work area within a continuous statistical time window is established; The job status association sequence is a job-side time-series data sequence formed by extracting and sequentially organizing job temperature, job humidity, personnel stay duration, personnel activity intensity, and job airflow disturbance from the standardized job-mushroom shelf regulation status sequence according to the same job work area identifier and continuous time index; For each work area, the offset of work temperature relative to work reference temperature and the offset of work humidity relative to work reference humidity are extracted from the work status association sequence to generate a work heat and humidity load characterization. The thermal and humidity load of a work position is characterized by normalizing and weighting the temperature and humidity offsets of the work position. The reference temperature of the work position is obtained by averaging the temperature of the work position continuously collected within the same work area, and this average value is used as the reference temperature for calculating the temperature offset of the work position. The reference humidity of the work position is obtained by averaging the humidity of the work position continuously collected within the same work area, and this average value is used as the reference humidity for calculating the humidity offset of the work position. Read the duration of personnel stay and the intensity of personnel activity in the job status association sequence, and combine them with the job temperature offset to generate a characterization of personnel's local cooling needs; The demand for localized cooling of personnel is characterized by normalizing and weighting the temperature deviation of the work position, the duration of personnel stay, and the intensity of personnel activity. Within the job status correlation sequence, the fluctuation intensity and degree of continuous change of job airflow disturbance in the current statistical time window are statistically analyzed to generate a job airflow disturbance characterization; The workplace airflow disturbance is a single-moment characterization value corresponding to each sampling moment. Specifically, it is obtained by normalizing and weighting the absolute value of the difference between the workplace wind speed and the workplace reference wind speed at the current sampling moment, as well as the deflection angle between the workplace flow direction and the workplace reference flow direction at the current sampling moment. The workplace reference wind speed is obtained by averaging the workplace wind speeds continuously collected within the same workplace work area, and this average value is used as the workplace reference wind speed for calculating workplace airflow disturbance. The workplace reference flow direction is obtained by statistically analyzing the angles of the workplace flow directions continuously collected within the same workplace work area, and the angle of the dominant flow direction with the highest frequency is taken as the workplace reference flow direction. The fluctuation intensity is determined according to the cumulative degree of change of airflow disturbance in the current statistical time window. Specifically, the airflow disturbance values ​​of the work area are continuously read at each sampling time. The absolute value of the difference between the airflow disturbance values ​​between two adjacent sampling times is calculated. All absolute values ​​are accumulated one by one to obtain the cumulative amount of disturbance change. The cumulative amount of disturbance change is then divided by the number of effective samplings in the current statistical time window to obtain the fluctuation intensity. The degree of continuous change is determined according to the length of time that the airflow disturbance in the work area has been continuously in a deviated state. Specifically, the airflow disturbance value of the work area is compared with the benchmark value of the airflow disturbance in the work area. The duration of continuous higher value and duration of continuous lower value are counted. The longest duration is taken as the duration of continuous change. The duration of continuous change is then divided by the total duration of the current statistical time window to obtain the degree of continuous change. The characterization of airflow disturbance in the work area is obtained by normalizing and weighting the fluctuation intensity and the degree of continuous change. The baseline value for airflow disturbance at the work station is obtained by averaging the airflow disturbance data collected continuously within the same work station area, and this average value is used as the baseline value for determining the degree of continuous change in airflow disturbance at the work station. The job position heat and humidity load characterization is used to characterize the comprehensive load level formed by the current thermal and humidity environment of the job position work area on local cooling regulation. The personnel local cooling demand characterization is used to characterize the degree of demand of the job position workers for local cooling intensity, cooling duration and cooling priority under the current working conditions. The job position airflow disturbance characterization is used to characterize the degree of disturbance formed by the current airflow deviation, airflow fluctuation and airflow stability change of the job position work area on the job position comfort boundary. Based on the job area identification and unified time index, the job heat and humidity load characterization, personnel local cooling demand characterization, and job airflow disturbance characterization are linked and organized to form a job comfort boundary characterization sequence corresponding to each job area.

[0024] In this embodiment, the generation of the characterization sequence for the metabolic stability boundary of the scaffold includes: From the standardized post-mushroom shelf control state sequence, according to the post-adjacent mushroom shelf area identifier and unified time index, extract the adjacent mushroom shelf temperature, adjacent mushroom shelf humidity, mushroom shelf surface temperature rise, mushroom shelf airflow response and mushroom shelf transpiration activity of each post-adjacent mushroom shelf area, and establish the mushroom shelf state association sequence of the adjacent mushroom shelf area of ​​the same post within a continuous statistical time window; The shelf status association sequence is a shelf-side time-series data sequence formed by extracting and sequentially organizing the shelf proximity temperature, shelf proximity humidity, shelf surface temperature rise, shelf airflow response, and shelf transpiration activity from the standardized post-shelf control status sequence according to the adjacent shelf area identifier and continuous time index of the same post. For the adjacent mushroom rack area of ​​each post, the temperature, humidity and transpiration activity of the mushroom rack are extracted from the mushroom rack status association sequence to generate a characterization of mushroom rack respiration intensity. The temperature near the mushroom rack is the average temperature of the area where the mushroom rack is located at the same sampling time and within the preset sampling range. The humidity near the mushroom rack is the average humidity of the area where the mushroom rack is located at the same sampling time and within the preset sampling range. The transpiration activity of the mushroom rack is the transpiration activity obtained by weighted summing the average of the changes in humidity near the mushroom rack at adjacent sampling times, the average of the changes in surface temperature of the mushroom rack at adjacent sampling times, and the duration of continuous increase in humidity near the mushroom rack within the current statistical time window. The duration of continuous increase in humidity near the mushroom rack is the length of time during which the humidity near the mushroom rack remains higher than the previous sampling time from a certain sampling time without any decrease or interruption within the current statistical time window. The respiration intensity of the mushroom rack was characterized by normalizing the temperature, humidity, and transpiration activity of the mushroom rack and then summing them by weight. Read the surface temperature rise of the mushroom rack in the mushroom rack state association sequence to generate a characterization of the heat release rhythm of the mushroom rack; The generation of the heat release rhythm characterization of the mushroom rack includes: extracting the surface temperature rise of the mushroom rack at each sampling moment within the current continuous statistical time window from the mushroom rack state association sequence according to the mushroom rack area identifier adjacent to the post, forming a mushroom rack surface temperature rise subsequence; calculating the temperature rise of the mushroom rack surface at adjacent sampling moments in the mushroom rack surface temperature rise subsequence by subtracting the previous moment from the next moment, to obtain the temperature rise change difference sequence; taking the absolute value of the temperature rise change difference sequence and summing it item by item, then dividing by the number of effective differences to obtain the rhythm fluctuation amplitude; counting the number of times the state of adjacent difference values ​​in the temperature rise change difference sequence switches, to obtain the rhythm switching frequency; counting the maximum duration for which the absolute value of the temperature rise change difference sequence is continuously higher than the preset temperature rise activity threshold, to obtain the heat release duration; and normalizing the rhythm fluctuation amplitude, rhythm switching frequency, and heat release duration respectively, then weighting and summing them to obtain the mushroom rack heat release rhythm characterization. The preset temperature rise activity threshold is obtained by taking the average of the absolute values ​​of the temperature rise changes extracted continuously in adjacent mushroom rack areas of the same position, and then multiplying it by a preset amplification factor, which is 1.2. Transpiration activity of the mushroom racks is extracted from the state association sequence and combined with the degree of change in humidity near the mushroom racks within a continuous statistical time window to generate a characterization of transpiration activity of the mushroom racks. The transpiration activity of the mushroom rack was characterized by normalizing the transpiration activity of the mushroom rack and the degree of change in the humidity near the mushroom rack and then weighting and summing them. The degree of change in the humidity near the mushroom rack was obtained by successively accumulating the absolute value of the difference in the humidity near the mushroom rack at adjacent sampling times within the current statistical time window and then dividing it by the number of effective differences. Based on the association sequence of the mushroom rack state, the temperature, humidity and airflow response of the mushroom rack are extracted to generate a sensitive characterization of the mushroom rack microenvironment. The airflow response of the mushroom rack is calculated based on the degree of airflow change in the vicinity of the mushroom rack before and after the adjustment of the airflow guide angle. Specifically, after each airflow guide angle adjustment is triggered, the average wind speed in the vicinity of the mushroom rack is calculated to obtain the pre-state wind speed, and the average wind speed in the vicinity of the mushroom rack is calculated to obtain the post-state wind speed, and the absolute value of the difference between the post-state wind speed and the pre-state wind speed is determined as the wind speed response quantity. At the same time, the most frequently occurring flow direction angle in the pre-state sampling time is counted as the pre-state dominant flow direction, and the most frequently occurring flow direction angle in the post-state sampling time is counted as the post-state dominant flow direction, and the absolute value of the angle between the post-state dominant flow direction and the pre-state dominant flow direction is determined as the flow direction response quantity. Then, the maximum duration for which the wind speed in the vicinity of the mushroom rack after the adjustment is continuously higher than the pre-state wind speed and exceeds the preset response threshold is counted as the response duration. The wind speed response quantity, flow direction response quantity, and response duration are normalized and then weighted and summed to obtain the mushroom rack airflow response. The wind speed in the vicinity of the mushroom rack is the instantaneous wind speed set at the target measuring point in the mushroom rack area near the work station, used to characterize the strength of the air flow near the mushroom rack. The flow direction angle is the angle formed by the current airflow direction relative to the preset reference direction. The preset reference direction is a reference direction that is uniformly set in advance in the edible mushroom workshop and used to measure the deflection angle of the actual airflow direction. It is generally taken as the initial air supply direction of the work station's air conditioning unit or the extension direction of the main passage of the workshop. The preset response threshold is obtained by taking the average value of the wind speed change range in the vicinity of the mushroom rack area continuously collected in the same work station vicinity, and then multiplying it by the preset amplification factor, which is 1.2. The microenvironment sensitivity of the mushroom rack was obtained by normalizing and weighting the temperature, humidity and airflow response of the mushroom rack. The respiration intensity characterization is used to characterize the metabolic respiration activity of the mushroom rack area adjacent to the work station within the current statistical time window and its consumption and release intensity to the local temperature and humidity environment. The heat release rhythm characterization is used to characterize the fluctuation amplitude, switching frequency and continuous activity of the surface temperature change of the mushroom rack area adjacent to the work station within a continuous statistical time window. The transpiration activity characterization is used to characterize the water exchange activity of the mushroom rack area adjacent to the work station within the current statistical time window and the synergistic level of humidity change and surface heat change. The microenvironment sensitivity characterization is used to characterize the sensitivity of the mushroom rack area adjacent to the work station to changes in adjacent temperature, humidity and work station air supply disturbances and the strength of disturbance to the microenvironment stability boundary. Based on the identification of adjacent mushroom shelf areas and a unified time index, the characteristics of mushroom shelf respiration intensity, mushroom shelf heat release rhythm, mushroom shelf transpiration activity, and mushroom shelf microenvironment sensitivity are correlated and organized to form a mushroom shelf metabolic stability boundary characterization sequence.

[0025] In this embodiment, the generation of the dual-boundary coupling characterization sequence includes: Based on the spatial adjacency relationship between each work area and the adjacent mushroom shelf area, the work area identifier, the adjacent mushroom shelf area identifier, and the time index are used to pair the work area comfort boundary characterization sequence with the mushroom shelf metabolic stability boundary characterization sequence to form a double boundary pairing sequence. Spatial adjacency is a direct proximity relationship between a work area and a neighboring mushroom shelf area within the edible mushroom workshop, based on their actual spatial location. It is used to define the range of mushroom shelf areas that the air supply of a certain work area's air conditioning unit can preferentially affect. The double-boundary pairing sequence is a time-series paired data sequence formed under the constraints of spatial adjacency, according to the same work area, the same neighboring mushroom shelf area, and the same time index, by matching the work comfort boundary representation value in the work area comfort boundary representation sequence with the mushroom shelf metabolic stability boundary representation value in the mushroom shelf metabolic stability boundary representation sequence. Adjacency pairing is based on the spatial adjacency relationship between a work area and a neighboring mushroom shelf area, matching the work comfort boundary representation value corresponding to the work area with the mushroom shelf metabolic stability boundary representation value corresponding to the neighboring mushroom shelf area under the same time index. Read the heat and humidity load characterization, local cooling demand characterization, and airflow disturbance characterization of the same work area, perform weighted summation, and generate the work comfort boundary characterization value. Read the respiratory intensity, heat release rhythm, transpiration activity, and microenvironment sensitivity of the mushroom racks in adjacent areas of the same position, perform weighted summation, and generate the metabolic stability boundary characterization value of the mushroom racks. In implementation, when the representation quantities participating in the same calculation step contain window-level data calculated through continuous statistical time windows and need to be jointly calculated with time point data under a unified time index, the window-level data is copied and assigned to all time indices within its corresponding continuous statistical time window, so that each time index within the continuous statistical time window corresponds to the same window-level representation value. Then, it is paired, aligned, weighted summed, and compared with other time point data under the time index, thereby ensuring that the time hierarchy of data from different sources is consistent in the same calculation step. Combining the spatial location of the work area with the spatial location of the adjacent mushroom shelf area, the work comfort boundary characterization value and the mushroom shelf metabolic stability boundary characterization value in the double boundary pairing sequence are mapped to a unified spatial coordinate and organized in a unified time index order; Under each time index, read the job comfort boundary characterization value and the mushroom shelf metabolic stability boundary characterization value of the same job work area and the adjacent mushroom shelf area of ​​the corresponding job, and calculate the absolute value and ratio of the difference between the two. When the boundary characterization value of job comfort is not greater than the job comfort activation threshold, or the boundary characterization value of scaffold metabolism stability is not greater than the scaffold stability activation threshold, it is determined to be inactive. When the boundary characterization value of job comfort is greater than the job comfort activation threshold, the boundary characterization value of mycelial metabolic stability is greater than the mycelial stability activation threshold, the absolute value of the difference between the two is greater than the conflict threshold, and the ratio between the two exceeds the preset coordination range, a double boundary conflict zone is determined. The dual-boundary conflict zone is a spatially correlated area in which, under the same work area and the adjacent mushroom shelf area, the work area's comfort boundary characterization value is greater than the work area's comfort activation threshold, the mushroom shelf's metabolic stability boundary characterization value is greater than the mushroom shelf's stability activation threshold, and the absolute value of the difference between the two is greater than the conflict threshold, and the ratio of the two exceeds the preset coordination interval. It is used to characterize that there is a significant incoordination between the local cooling needs of the work area workers and the metabolic stability needs of the adjacent mushroom shelves under the current state. This indicates that if the air conditioning adjustment in this area continues to prioritize the work area's comfort needs, it will strongly interfere with the stability of the mushroom shelf's microenvironment. The conflict threshold is obtained by adding the average absolute value of the difference between the job comfort boundary characterization value and the mycelial metabolic stability boundary characterization value to the average absolute value of the deviation between the absolute value of the difference and the average value. The preset coordination interval is obtained by taking the average value of the ratio between the job comfort boundary characterization value and the mycelial metabolic stability boundary characterization value as the center of the interval, and expanding upward and downward respectively by the average absolute value of the deviation between the ratio and the average value. The job comfort activation threshold is obtained by taking the average value of the continuously obtained job comfort boundary characterization values ​​and adding the average absolute value of the difference between the job comfort boundary characterization value and the average value. The mycelial stability activation threshold is obtained by taking the average value of the continuously obtained mycelial metabolic stability boundary characterization values ​​and adding the average absolute value of the difference between the mycelial metabolic stability boundary characterization value and the average value. When the job comfort boundary characterization value is greater than the job comfort activation threshold and the scaffold metabolic stability boundary characterization value is greater than the scaffold stability activation threshold, the absolute difference between the two is less than the equilibrium threshold, and the change in the absolute difference under adjacent time indices is less than the equilibrium fluctuation threshold, the dual-boundary dynamic equilibrium zone is determined. The dual-boundary dynamic equilibrium zone is a spatial correlation region in which the absolute difference between the comfort boundary characterization value of the work area and the adjacent mushroom shelf area of ​​the corresponding work area is less than the equilibrium threshold under the same time index, and the change in the absolute difference under adjacent time indices is less than the equilibrium fluctuation threshold. It is used to characterize that the local cooling needs of the work area personnel and the metabolic stability needs of the adjacent mushroom shelf are in a continuous coordinated state under the current state, indicating that the air conditioning regulation of the work area can maintain the dynamic balance between the comfort needs of the work area and the stability needs of the microenvironment of the mushroom shelf. The balance threshold is obtained by multiplying the average absolute value of the difference by a preset shrinkage coefficient, which is 0.8. The balance fluctuation threshold is obtained by the average change in the absolute value of the difference under adjacent time indices. When the characteristic value of the job comfort boundary is greater than the job comfort activation threshold, the characteristic value of the scaffold metabolic stability boundary is greater than the scaffold stability activation threshold, the absolute value of the difference between the two is less than the overlap threshold, and the conditions for determining the dynamic equilibrium zone of the double boundary are not met, the double boundary overlap zone is determined. The double-boundary overlap area is a spatial correlation area in which the comfort boundary characterization value of the work position and the adjacent mushroom shelf area of ​​the corresponding work position are both active under the same time index, and the absolute value of the difference between the two is less than the overlap threshold. It is used to characterize the compatibility between the local cooling needs of the work position personnel and the metabolic stability needs of the adjacent mushroom shelf under the current state. This indicates that the air conditioning adjustment of the work position in this area can meet the comfort needs of the work position without causing significant conflict with the microenvironment stability of the mushroom shelf. The overlap threshold was obtained by averaging the absolute values ​​of the differences between the job comfort boundary characterization value and the shelf metabolic stability boundary characterization value. When the job comfort boundary characterization value is greater than the job comfort activation threshold and the scaffold metabolic stability boundary characterization value is greater than the scaffold stability activation threshold, and the conditions for determining the double boundary conflict zone, double boundary dynamic equilibrium zone, and double boundary overlap zone are not met, the double boundary to be coordinated zone is determined. Based on the work area identifier, the adjacent mushroom shelf area identifier, and the time index, the inactive state, the double-boundary conflict area, the double-boundary dynamic equilibrium area, the double-boundary overlapping area, and the double-boundary uncoordinated area are associated and organized to form a double-boundary coupling representation sequence.

[0026] In this embodiment, the generation of the distributed on-site air conditioning coordinated control sequence includes: Based on the job area identifier and current time index, extract the inactive state, double boundary conflict area, double boundary dynamic balance area, double boundary overlap area and double boundary waiting coordination area corresponding to each job area from the double boundary coupling representation sequence, and read the job air conditioning operation data; The work areas of each position are sorted according to the status category, with the double-boundary conflict area in the first place, the double-boundary coordination area in the second place, the double-boundary overlap area in the third place, the double-boundary dynamic balance area in the fourth place, and the inactive state in the last place, forming the order of cold energy distribution. For the double-boundary conflict zone, the ratio of the job comfort boundary characterization value to the shelf metabolic stability boundary characterization value is used for judgment. When the ratio is greater than the upper limit of the preset coordination interval, the preset temperature correction step is subtracted from the current supply air temperature and the preset air velocity correction step is added to the current supply air velocity to obtain the supply air temperature setpoint and the supply air velocity setpoint, respectively. When the ratio is less than the lower limit of the preset coordination interval, the preset temperature correction step is added to the current supply air temperature and the preset air velocity correction step is subtracted from the current supply air velocity to obtain the supply air temperature setpoint and the supply air velocity setpoint, respectively. The preset temperature correction step size is obtained by averaging the absolute values ​​of the supply air temperature adjustment under adjacent time indices, and the preset air velocity correction step size is obtained by averaging the absolute values ​​of the supply air velocity adjustment under adjacent time indices. For the double-boundary coordination zone, the double-boundary overlap zone, the double-boundary dynamic balance zone and the inactive state, the supply air temperature setpoint and the supply air velocity setpoint are determined according to the preset coordination correction step size, the preset overlap correction step size, the current hold value and the preset standby value, respectively. When the ratio is greater than the upper limit of the preset coordination range, it indicates that the demand for comfort in the work area is relatively strong. The preset adjustment step size and preset overlap adjustment step size are used to subtract from the current supply air temperature and add to the current supply air velocity. When the ratio is less than the lower limit of the preset coordination range, it indicates that the demand for stable bacterial cell metabolism is relatively strong. The preset adjustment step size and preset overlap adjustment step size are used to add to the current supply air temperature and subtract from the current supply air velocity. When the ratio is within the preset coordination range, for the double-boundary overlap area, the preset overlap adjustment step size is subtracted from the current supply air temperature and added to the current supply air velocity; for the double-boundary coordination area, the preset adjustment step size is subtracted from the current supply air temperature and added to the current supply air velocity. The preset adjustment step size is obtained by averaging the absolute values ​​of the supply air temperature adjustment and the supply air velocity adjustment of the corresponding work area in the double boundary coordination zone under adjacent unified time indexes. The preset overlap adjustment step size is obtained by averaging the absolute values ​​of the supply air temperature adjustment and the supply air velocity adjustment of the corresponding work area in the double boundary overlap zone under adjacent unified time indexes. The current hold value is the control value corresponding to the current supply air temperature and current supply air velocity that the work area air conditioning unit continues to use when entering the double boundary dynamic balance zone. The preset standby value is the preset low-energy standby control value that the work area air conditioning unit switches to when entering the inactive state. For the double-boundary conflict zone, double-boundary uncoordinated zone, double-boundary overlapping zone, double-boundary dynamic balance zone and inactive state, respectively determine the wind direction setting value and the running time setting value; For double-boundary conflict zones, the current airflow angle is deflected away from the adjacent mushroom rack area to obtain the airflow direction setting value, and a preset coordination extension time is added to the current running time to obtain the running time setting value; for double-boundary areas awaiting coordination, the current airflow angle is deflected away from the adjacent mushroom rack area to obtain the airflow direction setting value, and a preset anti-interference shortening time is subtracted from the current running time to obtain the running time setting value; for double-boundary overlapping zones, the airflow angle is maintained, and a preset energy-saving shortening time is subtracted from the current running time to obtain the running time setting value; for double-boundary dynamic balance zones, the current airflow angle and current running time are maintained, and for inactive states, a preset return-to-center airflow direction and a preset standby running time are adopted; The preset avoidance angle is obtained by multiplying the average absolute value of the angle between the air conditioning direction of the work station and the main sensitive direction of the adjacent mushroom shelf area by a preset avoidance amplification factor, which is 1.2. The preset coordination extension time is obtained by multiplying the average continuous duration of the double boundary conflict zone by the average absolute value of the reduction in running time of the corresponding work station work area in the double boundary coordination zone under adjacent unified time indexes. The preset energy saving shortening time is obtained by multiplying the average absolute value of the reduction in running time of the corresponding work station work area in the double boundary overlapping zone under adjacent unified time indexes. The preset return air guiding direction is obtained by multiplying the average air guiding angle of the same work station work area by the average value of the preset standby running time by multiplying the average continuous duration of the inactive state by a preset standby contraction factor, which is 0.8. The main sensitive direction of the adjacent mushroom shelf area is the dominant disturbed direction that shows the greatest response intensity to airflow disturbance, temperature change and humidity change in the adjacent mushroom shelf area under the air supply of the work station. Based on the supply air temperature setpoint, supply air velocity setpoint, airflow direction setpoint, operating time setpoint, and cooling capacity distribution sequence, a distributed workstation air conditioning collaborative control sequence is formed.

[0027] In this embodiment, the cooling capacity allocation order is formed by arranging the order of cooling supply from the air conditioning units of each work station according to the dual-boundary coupling state of each work station's work area under the same time index. Essentially, it is a priority allocation rule for limited cooling capacity resources among different work station work areas. This cooling capacity allocation order is used to first adjust the work station work areas corresponding to the dual-boundary conflict area, and then adjust the work station work areas corresponding to the dual-boundary uncoordinated area, dual-boundary overlapping area, dual-boundary dynamic balance area, and inactive state. This ensures that areas where the contradiction between the work station's comfort needs and the microenvironment stability needs of the mushroom racks is more prominent receive priority cooling capacity intervention, thereby avoiding the simultaneous and disorderly delivery of cooling capacity, which would cause local overcooling, disturbance to adjacent mushroom racks, and ineffective cooling. It also provides a sequential basis for the coordinated execution of subsequent supply air temperature setpoints, supply air velocity setpoints, airflow direction setpoints, and runtime setpoints.

[0028] In this embodiment, the generation of air conditioning energy-saving intelligent control information includes: Based on the work area identifier and the current unified time index, read the supply air temperature setpoint, supply air speed setpoint, air direction setpoint, running time setpoint, and cooling capacity distribution order from the distributed work area air conditioning collaborative control sequence, and send them to the corresponding work area air conditioning unit. According to the order of cooling capacity distribution, the air conditioning units of each station are controlled to perform local cooling adjustment in sequence, and the air supply control of the current control cycle is completed according to the set values ​​of supply air temperature, supply air speed, air direction and running time. During localized cooling and regulation, continuous collection of work station status data, work station air conditioning operation data, and mushroom rack status data was conducted, and the standardized work station-mushroom rack regulation status sequence was updated. Based on the updated standardized job-scaffold regulatory state sequence, the job comfort boundary characterization sequence, the scaffold metabolic stability boundary characterization sequence, and the dual-boundary coupling characterization sequence are regenerated. Based on the updated dual-boundary coupling characterization sequence, the setpoints for supply air temperature, supply air velocity, air direction, running time, and cooling capacity allocation are redefined. The distributed job air conditioning collaborative control sequence is updated, and the local cooling adjustment cycle is continued to be executed at the next time index, forming intelligent air conditioning energy-saving control information.

[0029] In this embodiment, the air conditioning energy-saving intelligent control information is the control information finally output for each work area under the current unified time index. It includes the work area identifier, the identifier of the adjacent mushroom rack area of ​​the corresponding work area, the current status category, the supply air temperature set value, the supply air speed set value, the air guide direction set value, the running time set value, and the cooling capacity allocation order. The current status category is used to characterize the inactive state, double boundary conflict area, double boundary dynamic balance area, double boundary overlapping area, or double boundary waiting coordination area corresponding to the work area.

[0030] Example 1: To verify the feasibility of this invention in practice, it was applied to a factory-scale edible mushroom cultivation workshop. The workshop has multiple work areas. One side of each work area is for personnel sorting, packing, inspection, and transfer; the other side is the adjacent mushroom rack area, directly related to the air conditioning supply direction of each work area. The workshop's original control method primarily relied on uniform air supply adjustment based on work area temperature and humidity. While this alleviated the stuffiness for some workers during high-temperature and high-humidity production periods, it also easily led to increased localized airflow, surface temperature fluctuations, and accelerated humidity fluctuations in the adjacent mushroom rack area. Consequently, it was difficult to simultaneously meet the work area requirements and the need for a stable microenvironment for the mushroom racks. When this invention is put into use, it first continuously collects data on the work station temperature, humidity, personnel stay duration, personnel activity intensity, work station airflow disturbance, current supply air temperature, current supply air velocity, current air guide angle, current running time, temperature near the mushroom rack, humidity near the mushroom rack, surface temperature rise of the mushroom rack, airflow response of the mushroom rack, and transpiration activity of the mushroom rack. The collected data is then synchronized in time, calibrated in space, and abnormal data is removed and missing data is filled in to form a standardized work station-mushroom rack regulation state sequence. Then, a work station comfort boundary characterization sequence and a mushroom rack metabolic stability boundary characterization sequence are generated respectively. Under a unified spatial coordinate and a unified time index, inactive states, double boundary conflict zones, double boundary dynamic equilibrium zones, double boundary overlapping zones, and double boundary zones to be coordinated are identified, thereby forming a double boundary coupling characterization sequence.

[0031] During continuous production in the workshop, this invention implements distributed and coordinated control of the air conditioning units at each workstation according to a dual-boundary coupling characterization sequence. For workstations with dual-boundary conflict zones, the system prioritizes the allocation of cooling capacity and makes yielding adjustments to the supply air temperature, supply air velocity, airflow direction, and operating time, ensuring that the cooling effect of the workstation falls more on areas with concentrated personnel activity, while reducing the interference of supply air directly reaching the adjacent mushroom shelf area. For workstations in the dual-boundary overlap zone and the dual-boundary uncoordinated zone, the system performs mild adjustments based on the correspondence between the workstation comfort boundary characterization value and the mushroom shelf metabolic stability boundary characterization value, keeping the improvement of workstation comfort synchronized with the microenvironment of the mushroom shelf. For workstations in the dual-boundary dynamic equilibrium zone, the current control value is maintained to avoid ineffective cooling caused by frequent adjustments. During implementation, the system continuously records the workstation status data, air conditioning operation data, and mushroom shelf status data of each workstation and adjacent mushroom shelf area under different shifts and time periods, and simultaneously retains records of dual-boundary coupling state changes, cooling capacity allocation order changes, and control command execution records.

[0032] To verify the performance of this invention in practice, it was compared with traditional methods, and the results are shown in Table 1.

[0033] As shown in Table 1, this invention first demonstrates higher control efficiency at the work station level. The time for the work station's operating area to reach the cooling standard was reduced from 18.6 minutes to 11.2 minutes. This indicates that after identifying the comfort boundary characteristics sequence of the work station, this invention can prioritize the distribution of cooling energy to the work station areas that require more intervention, rather than using a more even cooling method as in traditional methods. Therefore, the localized cooling response felt by the personnel at the work station is faster. This improvement is consistent with the coordinated adjustment logic of the cooling energy distribution order, the supply air temperature setpoint, and the supply air velocity setpoint.

[0034] From the perspective of the mushroom racks, the humidity fluctuation near the racks decreased from 6.8%RH to 3.9%RH, indicating that this invention does not simply enhance cooling at the work station, but rather establishes a dual-boundary coupling judgment mechanism between the work station comfort boundary characterization sequence and the mushroom rack metabolic stability boundary characterization sequence. Traditional methods, when cooling at the work station, tend to push cold air directly towards the adjacent mushroom rack area, causing significant fluctuations in the local humidity environment. This invention, through the coordinated correction of the airflow direction setting and the runtime setting, concentrates cooling at the work station area rather than the mushroom rack area, thus significantly reducing humidity fluctuations near the mushroom racks.

[0035] The proportion of double-boundary conflict zones decreased from 28.4% to 11.6%, which best reflects the core value of this invention. Traditional methods do not place the need for localized cooling at the work site and the need for stable microbial metabolism in the same decision-making process, often resulting in improved work site comfort but disturbed microbial microenvironment. This invention, by identifying inactive states, double-boundary conflict zones, double-boundary dynamic equilibrium zones, double-boundary overlapping zones, and double-boundary zones requiring coordination, explicitly identifies and prioritizes the handling of previously implicit conflict relationships, thus significantly reducing the proportion of conflict states. This demonstrates that this invention does not simply adjust parameters, but truly improves the coordination of regulation through a double-boundary coupling mechanism.

[0036] In terms of energy consumption, the daily air conditioning power consumption per unit of production decreased from 286.3 kWh to 233.4 kWh, a reduction of 18.5%. This improvement is because the present invention first determines the state category, and then determines the cooling capacity distribution order, supply air temperature setpoint, supply air speed setpoint, airflow direction setpoint, and running time setpoint. This reduces ineffective cooling for positions that do not require priority intervention, and allows positions that require priority to complete the control more quickly, thereby reducing energy waste caused by repeated cooling, excessive cooling, and disordered cooling.

[0037] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for energy-saving intelligent control of distributed workstation air conditioning in an edible mushroom workshop, characterized in that, Includes the following steps: Collect job status data, air conditioning operation data, and mushroom shelf status data of each work area in the edible mushroom workshop, and perform preprocessing to generate a standardized job-mushroom shelf control status sequence; Based on the standardized job-stool regulation state sequence, a job comfort boundary characterization sequence is generated; Based on the standardized job-shelf regulation state sequence, the characteristics of shelf respiration intensity, shelf heat release rhythm, shelf transpiration activity and shelf microenvironment sensitivity are extracted from the shelf area adjacent to each job, and a shelf metabolic stability boundary characterization sequence is generated. The job comfort boundary characterization sequence and the microbial shelf metabolic stability boundary characterization sequence are mapped to a unified spatial coordinate and a unified time index to identify inactive states, double boundary conflict zones, double boundary dynamic equilibrium zones, double boundary overlapping zones, and double boundary zones to be coordinated, thereby generating double boundary coupling characterization sequences. Based on the dual-boundary coupling characterization sequence, the setpoints for supply air temperature, supply air velocity, air direction, running time, and cooling capacity distribution of each air conditioning unit are determined, forming a distributed workstation air conditioning collaborative control sequence. Based on the distributed job-specific air conditioning collaborative control sequence, the air conditioning units of each job-specific unit are controlled to perform local cooling adjustment, and the information is continuously updated to form intelligent control information for air conditioning energy saving.

2. The energy-saving intelligent control method for distributed workstation air conditioning in an edible mushroom workshop according to claim 1, characterized in that, The job status data includes job temperature, job humidity, personnel stay time, personnel activity intensity, and job airflow disturbance. The job air conditioning operation data includes current supply air temperature, current supply air speed, current air guide angle, and current running time. The mushroom rack status data includes temperature near the mushroom rack, humidity near the mushroom rack, surface temperature rise of the mushroom rack, airflow response of the mushroom rack, and transpiration activity of the mushroom rack.

3. The energy-saving intelligent control method for distributed workstation air conditioning in an edible mushroom workshop according to claim 1, characterized in that, The preprocessing includes time synchronization, spatial location calibration, outlier data removal, and missing data completion.

4. The energy-saving intelligent control method for distributed workstation air conditioning in an edible mushroom workshop according to claim 1, characterized in that, The generation of the job comfort boundary representation sequence includes: From the standardized post-mushroom shelf regulation status sequence, the corresponding post temperature, post humidity, personnel stay time, personnel activity intensity and post airflow disturbance of each post work area are extracted according to the post work area identification and unified time index, and a post status association sequence of the same post work area within a continuous statistical time window is established; For each work area, the offset of work temperature relative to work reference temperature and the offset of work humidity relative to work reference humidity are extracted from the work status association sequence to generate a work heat and humidity load characterization. Read the duration of personnel stay and the intensity of personnel activity in the job status association sequence, and combine them with the job temperature offset to generate a characterization of personnel's local cooling needs; Within the job status correlation sequence, the fluctuation intensity and degree of continuous change of job airflow disturbance in the current statistical time window are statistically analyzed to generate a job airflow disturbance characterization; Based on the job area identification and unified time index, the job heat and humidity load characterization, personnel local cooling demand characterization, and job airflow disturbance characterization are linked and organized to form a job comfort boundary characterization sequence corresponding to each job area.

5. The energy-saving intelligent control method for distributed workstation air conditioning in an edible mushroom workshop according to claim 1, characterized in that, The generation of the scaffold metabolic stability boundary characterization sequence includes: From the standardized post-mushroom shelf control state sequence, according to the post-adjacent mushroom shelf area identifier and unified time index, extract the adjacent mushroom shelf temperature, adjacent mushroom shelf humidity, mushroom shelf surface temperature rise, mushroom shelf airflow response and mushroom shelf transpiration activity of each post-adjacent mushroom shelf area, and establish the mushroom shelf state association sequence of the adjacent mushroom shelf area of ​​the same post within a continuous statistical time window; For the adjacent mushroom rack area of ​​each post, the temperature, humidity and transpiration activity of the mushroom rack are extracted from the mushroom rack status association sequence to generate a characterization of mushroom rack respiration intensity. Read the surface temperature rise of the mushroom rack in the mushroom rack state association sequence to generate a characterization of the heat release rhythm of the mushroom rack; Transpiration activity of the mushroom racks is extracted from the state association sequence and combined with the degree of change in humidity near the mushroom racks within a continuous statistical time window to generate a characterization of transpiration activity of the mushroom racks. Based on the association sequence of the mushroom rack state, the temperature, humidity and airflow response of the mushroom rack are extracted to generate a sensitive characterization of the mushroom rack microenvironment. Based on the identification of adjacent mushroom shelf areas and a unified time index, the characteristics of mushroom shelf respiration intensity, mushroom shelf heat release rhythm, mushroom shelf transpiration activity, and mushroom shelf microenvironment sensitivity are correlated and organized to form a mushroom shelf metabolic stability boundary characterization sequence.

6. The energy-saving intelligent control method for distributed workstation air conditioning in an edible mushroom workshop according to claim 1, characterized in that, The generation of the dual-boundary coupling characterization sequence includes: Based on the spatial adjacency relationship between each work area and the adjacent mushroom shelf area, the work area identifier, the adjacent mushroom shelf area identifier, and the time index are used to pair the work area comfort boundary characterization sequence with the mushroom shelf metabolic stability boundary characterization sequence to form a double boundary pairing sequence. Read the thermal and humidity load characterization, local cooling demand characterization, and airflow disturbance characterization of the same work area, perform weighted summation, and generate the work comfort boundary characterization value. Read the respiratory intensity, heat release rhythm, transpiration activity, and microenvironment sensitivity of the mushroom racks in adjacent areas of the same position, perform weighted summation, and generate the metabolic stability boundary characterization value of the mushroom racks. Combining the spatial location of the work area with the spatial location of the adjacent mushroom shelf area, the work comfort boundary characterization value and the mushroom shelf metabolic stability boundary characterization value in the double boundary pairing sequence are mapped to a unified spatial coordinate and organized in a unified time index order; Under each time index, read the job comfort boundary characterization value and the mushroom shelf metabolic stability boundary characterization value of the same job work area and the adjacent mushroom shelf area of ​​the corresponding job, and calculate the absolute value and ratio of the difference between the two. When the boundary characterization value of job comfort is not greater than the job comfort activation threshold, or the boundary characterization value of scaffold metabolism stability is not greater than the scaffold stability activation threshold, it is determined to be inactive. When the boundary characterization value of job comfort is greater than the job comfort activation threshold, the boundary characterization value of mycelial metabolic stability is greater than the mycelial stability activation threshold, the absolute value of the difference between the two is greater than the conflict threshold, and the ratio between the two exceeds the preset coordination range, a double boundary conflict zone is determined. When the job comfort boundary characterization value is greater than the job comfort activation threshold and the scaffold metabolic stability boundary characterization value is greater than the scaffold stability activation threshold, the absolute difference between the two is less than the equilibrium threshold, and the change in the absolute difference under adjacent time indices is less than the equilibrium fluctuation threshold, the dual-boundary dynamic equilibrium zone is determined. When the characteristic value of the job comfort boundary is greater than the job comfort activation threshold, the characteristic value of the scaffold metabolic stability boundary is greater than the scaffold stability activation threshold, the absolute value of the difference between the two is less than the overlap threshold, and the conditions for determining the dynamic equilibrium zone of the double boundary are not met, the double boundary overlap zone is determined. When the job comfort boundary characterization value is greater than the job comfort activation threshold and the scaffold metabolic stability boundary characterization value is greater than the scaffold stability activation threshold, and the conditions for determining the double boundary conflict zone, double boundary dynamic equilibrium zone, and double boundary overlap zone are not met, the double boundary to be coordinated zone is determined. The inactive state, the double-boundary conflict zone, the double-boundary dynamic equilibrium zone, the double-boundary overlapping zone, and the double-boundary uncoordinated zone are organized to form a double-boundary coupling representation sequence.

7. The energy-saving intelligent control method for distributed workstation air conditioning in an edible mushroom workshop according to claim 1, characterized in that, The generation of the distributed job-specific air conditioning coordinated control sequence includes: Based on the job area identifier and current time index, extract the inactive state, double boundary conflict area, double boundary dynamic balance area, double boundary overlap area and double boundary waiting coordination area corresponding to each job area from the double boundary coupling representation sequence, and read the job air conditioning operation data; The work areas of each position are sorted according to the status category, with the double-boundary conflict area in the first place, the double-boundary coordination area in the second place, the double-boundary overlap area in the third place, the double-boundary dynamic balance area in the fourth place, and the inactive state in the last place, forming the order of cold energy distribution. For the double-boundary conflict zone, the ratio of the job comfort boundary characterization value to the bacterial shelf metabolic stability boundary characterization value is used to determine the supply air temperature setpoint and supply air velocity setpoint. For the double-boundary coordination zone, the double-boundary overlap zone, the double-boundary dynamic balance zone, and the inactive state, the supply air temperature setpoint and the supply air velocity setpoint are determined respectively. For the double-boundary conflict zone, double-boundary uncoordinated zone, double-boundary overlapping zone, double-boundary dynamic balance zone and inactive state, respectively determine the wind direction setting value and the running time setting value; Based on the supply air temperature setpoint, supply air velocity setpoint, airflow direction setpoint, operating time setpoint, and cooling capacity distribution sequence, a distributed workstation air conditioning collaborative control sequence is formed.

8. The energy-saving intelligent control method for distributed workstation air conditioning in an edible mushroom workshop according to claim 7, characterized in that, The order of cooling capacity allocation is formed by arranging the order of cooling delivery of air conditioning units for each work station according to the dual-boundary coupling state of each work station's work area under the same time index.

9. The energy-saving intelligent control method for distributed workstation air conditioning in an edible mushroom workshop according to claim 1, characterized in that, The generation of the air conditioning energy-saving intelligent control information includes: Based on the work area identifier and the current unified time index, read the supply air temperature setpoint, supply air speed setpoint, air direction setpoint, running time setpoint, and cooling capacity distribution order from the distributed work area air conditioning collaborative control sequence, and send them to the corresponding work area air conditioning unit. According to the order of cooling capacity distribution, the air conditioning units of each station are controlled to perform local cooling adjustment in sequence, and the air supply control of the current control cycle is completed according to the set values ​​of supply air temperature, supply air speed, air direction and running time. During localized cooling and regulation, continuous collection of work station status data, work station air conditioning operation data, and mushroom rack status data was conducted, and the standardized work station-mushroom rack regulation status sequence was updated. Based on the updated standardized job-scaffold regulatory state sequence, the job comfort boundary characterization sequence, the scaffold metabolic stability boundary characterization sequence, and the dual-boundary coupling characterization sequence are regenerated. Based on the updated dual-boundary coupling characterization sequence, the setpoints for supply air temperature, supply air velocity, air direction, running time, and cooling capacity allocation are redefined. The distributed job air conditioning collaborative control sequence is updated, and the local cooling adjustment cycle is continued to be executed at the next time index, forming intelligent air conditioning energy-saving control information.

10. A method for energy-saving intelligent control of distributed workstation air conditioning in an edible mushroom workshop according to claim 9, characterized in that, The air conditioning energy-saving intelligent control information is the control information finally output for each work area under the current unified time index. It includes the work area identifier, the identifier of the adjacent mushroom shelf area of ​​the corresponding work area, the current status category, the supply air temperature set value, the supply air speed set value, the air guide direction set value, the running time set value, and the cooling capacity allocation order. The current status category is used to characterize the inactive state, double boundary conflict area, double boundary dynamic balance area, double boundary overlapping area, or double boundary waiting coordination area corresponding to the work area.

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