Remote interaction real-time display pushing method and system for refrigeration and heating equipment

Abstract

The invention discloses a remote interaction real-time display pushing method and system for refrigeration and heating equipment, relates to the technical field of remote interaction pushing, and solves the technical problem that in the prior art, influence analysis cannot be carried out when an industrial process temperature demand temperature control trend is alternated, so that the temperature control efficiency cannot be accurately monitored. The method specifically comprises the following steps: an alternating influence analysis unit performs temperature alternating influence analysis on each sub-process in an industrial processing process, divides the sub-processes into an operation demand heating time period and an operation demand cooling time period according to the temperature control demand of a temperature control process, and collects adjacent control data and non-adjacent control data; whether the temperature alternating influence is normal or not is deduced according to data comparison, and pushing is carried out; therefore, whether the processing temperature requirement of the current sub-process affects the operation efficiency of the refrigerating and heating equipment or not is inferred, so that the operation stability of the refrigerating and heating equipment is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of remote interactive push technology, and in particular to a remote interactive real-time display push method and system for refrigeration and heating equipment. Background Art

[0002] Industrial HMI is called industrial human-machine interaction interface. Industrial touch screen is an intelligent interface that connects people and machines through touch-type industrial displays. It replaces the intelligent operation display terminal of traditional control buttons and indicator lights. In the industrial processing process, the temperature required for each processing flow running equipment is different, so how to cooperate with refrigeration and heating equipment to control the temperature and push it remotely is crucial.

[0003] However, in the existing technology, it is impossible to predict whether the current industrial process needs to be coordinated with refrigeration and heating equipment based on real-time demand, and it is impossible to infer whether the current operating efficiency is qualified based on the coordinated operation analysis, so that it is impossible to ensure the stable operation of refrigeration and heating equipment and the normal progress of industrial processing. In addition, it is impossible to perform impact analysis when the temperature demand and temperature control trends of the industrial process alternate, so that the temperature control efficiency cannot be accurately monitored and timely regulation cannot be performed in abnormal situations.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a remote interactive real-time display push method and system for refrigeration and heating equipment.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A remote interactive real-time display and push system for refrigeration and heating equipment includes a remote monitoring platform, and the remote monitoring platform is connected to:

[0008] The demand forecasting and analysis unit is used to forecast the demand for the industrial processing flow, divide the industrial processing process into i sub-processes, where i is a natural number greater than 1, obtain the operation demand parameters and substitute them into the formula to obtain the temperature demand forecasting and analysis coefficient, and judge whether the industrial processing sub-process needs to be pushed for temperature control based on the coefficient comparison;

[0009] The operation efficiency analysis unit is used to monitor the operation of the sub-process in the industrial processing process in coordination with the refrigeration and heating equipment, set the sub-process in coordination with the refrigeration and heating equipment as the temperature control process, obtain the temperature control information and temperature constant information of the temperature control process, and infer whether the coordinated operation efficiency is qualified based on the information comparison and push it;

[0010] The alternating impact analysis unit is used to analyze the alternating temperature impact of each sub-process in the industrial processing process. It is divided into the operating demand heating period and the operating demand cooling period according to the temperature control requirements of the temperature control process, and adjacent control data and non-adjacent control data are collected. Based on the data comparison, it is inferred whether the temperature alternating impact is normal and pushed.

[0011] As a preferred embodiment of the present invention, the operating requirement parameters include the amount of reduction in the ambient temperature of the operating equipment of each sub-process in the industrial processing process and the increase in the temperature value required to reach the temperature value when the sub-process operating equipment starts, the corresponding floating span growth rate with the same trend, the maximum floating span value increase rate of the equipment starting temperature value corresponding to the execution time of each sub-process in the industrial processing project as the sub-process is repeatedly executed, the interval between the startup temperature requirement value of the operating equipment of each sub-process in the industrial processing project and the temperature value at the current time, and the multiple value increase rate of the temperature control amount per unit time.

[0012] As a preferred embodiment of the present invention, the system comparison process is as follows:

[0013] If the temperature demand prediction analysis coefficient exceeds the temperature demand prediction analysis coefficient threshold, a temperature control decision signal is generated and the temperature control decision signal is sent to the remote monitoring platform; if the temperature demand prediction analysis coefficient does not exceed the temperature demand prediction analysis coefficient threshold, a temperature control no decision signal is generated and the temperature control no decision signal is sent to the remote monitoring platform.

[0014] As a preferred embodiment of the present invention, after the remote monitoring platform receives the temperature control decision signal, the number of the corresponding sub-process is sent to the push terminal. The push terminal integrates the sub-process number and the real-time temperature fluctuation trend into a curve chart and displays it through a display device. The administrator performs targeted regulation according to the display content; after the remote monitoring platform receives the temperature control no-decision signal, the number of the corresponding sub-process is sent to the push terminal. After receiving it, the push terminal pushes and displays the current execution temperature of the sub-process and the execution temperature at the historical adjacent moments. The administrator monitors the temperature fluctuation according to the temperature records at the adjacent moments.

[0015] As a preferred embodiment of the present invention, the temperature control information and the temperature constant information are respectively the reduction in the floating span value of the temperature numerical value corresponding to the floating trend before and after the operation of the refrigeration and heating equipment during the continuous rising trend of the temperature floating trend of the temperature control process in the industrial processing process, and the ratio of the corresponding time length to the interval time length of the temperature rising trend of the temperature control process after the refrigeration and heating equipment is operated and the turning point of the non-rising trend of the temperature of the temperature control process into an rising trend after the refrigeration and heating equipment is shut down.

[0016] As a preferred embodiment of the present invention, the information comparison process is as follows:

[0017] If the temperature control information does not exceed the temperature numerical floating span value reduction threshold, or the temperature constant information exceeds the duration ratio threshold, an unqualified operation efficiency signal is generated and the unqualified operation efficiency signal and the corresponding temperature control process number are sent to the remote monitoring platform;

[0018] If the temperature control information exceeds the temperature numerical floating span value reduction threshold, and the temperature constant information does not exceed the duration ratio threshold, a qualified operation efficiency signal is generated and the qualified operation efficiency signal and the corresponding temperature control process number are sent to the remote monitoring platform.

[0019] As a preferred embodiment of the present invention, after the remote monitoring platform receives a signal of unqualified operating efficiency, the real-time temperature fluctuation trend of the temperature control process in the industrial processing process and the temperature values ​​at the corresponding moments are displayed, and after the refrigeration and heating equipment is running, the temperature trend change trajectory and the temperature values ​​at each moment of the corresponding change trajectory are displayed, and the degree of change of the temperature trajectory at each moment is adjusted in real time; after the remote monitoring platform receives a signal of qualified operating efficiency, the real-time temperature value and temperature control amount are displayed through the push terminal.

[0020] As a preferred embodiment of the present invention, adjacent control data and non-adjacent control data are respectively the maximum temperature control value deviation corresponding to the same trend temperature control in the operation cycle of the refrigeration and heating equipment when the operation demand heating period and the operation demand cooling period of the temperature control process are not adjacent, and the maximum deviation value corresponding to the temperature demand value and the actual temperature value of the refrigeration and heating equipment at the time of temperature control switching when the operation demand heating period and the operation demand cooling period of the temperature control process are adjacent;

[0021] If the adjacent control data exceeds the maximum temperature control value deviation threshold, or the non-adjacent control data exceeds the temperature maximum deviation threshold, an alternating high impact signal is generated and the alternating high impact signal and the corresponding temperature control time are sent to the push terminal;

[0022] If the adjacent control data does not exceed the maximum temperature control value deviation threshold, and the non-adjacent control data does not exceed the temperature maximum deviation threshold, an alternating low impact signal is generated and the alternating low impact signal and the corresponding temperature control time are sent to the push terminal.

[0023] As a preferred implementation mode of the present invention, the push terminal monitors and displays the temperature control time and the temperature control amount in real time after receiving the alternating high-impact signal, and the administrator performs operation detection of the corresponding temperature control process according to the real-time display content and adjusts the operation of the refrigeration and heating equipment when no abnormality is detected; the push terminal monitors and displays the temperature control time and the temperature control amount in real time after receiving the alternating high-impact signal.

[0024] A remote interactive real-time display push method for refrigeration and heating equipment, the specific push method is as follows:

[0025] Step 1: Demand forecasting: forecast the demand for industrial processing, divide the industrial processing into several sub-processes, obtain the operation demand parameters and substitute them into the formula to obtain the temperature demand forecast analysis coefficient, and judge whether the industrial processing sub-process needs to be pushed for temperature control based on the coefficient comparison;

[0026] Step 2: Operation efficiency analysis: monitor the operation of the sub-process in the industrial processing process in coordination with the refrigeration and heating equipment, set the sub-process in coordination with the refrigeration and heating equipment as the temperature control process, obtain the temperature control information and temperature constant information of the temperature control process, and infer whether the coordinated operation efficiency is qualified based on the information comparison and push it;

[0027] Step 3: Alternating impact analysis: Conduct temperature alternating impact analysis on each sub-process in the industrial processing process. According to the temperature control requirements of the temperature control process, it is divided into operating demand heating period and operating demand cooling period. Adjacent control data and non-adjacent control data are collected. Based on data comparison, it is inferred whether the temperature alternating impact is normal and push it.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1. In the present invention, demand forecasting is performed on the industrial processing flow, and the operation decision of the refrigeration and heating equipment is accurately made according to the demand forecast, so that the refrigeration and heating equipment can meet the real-time industrial processing demand and ensure the operation efficiency of the industrial processing. At the same time, the temperature can be accurately controlled to improve the accuracy of remote push. The operation of the sub-process in the industrial processing process in coordination with the refrigeration and heating equipment is monitored to determine whether the operation efficiency of the sub-process in coordination with the refrigeration and heating equipment meets the actual demand, thereby ensuring the high efficiency of the sub-process operation. At the same time, the refrigeration and heating equipment can be reasonably used to ensure that the temperature of the sub-process at each moment during the execution process meets the actual temperature demand, so that the entire industrial processing process is executed more smoothly without rework.

[0030] 2. In the present invention, the temperature alternation impact analysis is performed on each sub-process in the industrial processing process to determine whether the operating efficiency of the refrigeration and heating equipment is qualified when the sub-process in the industrial processing process requires temperature alternation regulation, thereby inferring whether the processing temperature requirement of the current sub-process affects the operating efficiency of the refrigeration and heating equipment, so as to ensure the operating stability of the refrigeration and heating equipment, and at the same time ensure that the sub-process can operate properly to ensure the normal development of industrial processing.

[0031] 3. In the present invention, the temperature collection deviation during the operation of the refrigeration and heating equipment is detected to ensure that the refrigeration and heating equipment meets the temperature control requirements of the industrial processing sub-process, while improving the accuracy and reliability of the real-time push of industrial processing, which is convenient for administrators to operate and maintain. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0033] Figure 1 This is a principle block diagram of Embodiment 1 of the present invention;

[0034] Figure 2 This is a principle block diagram of Embodiment 2 of the present invention;

[0035] Figure 3 The figure is a flow chart of the overall method of the present invention. DETAILED DESCRIPTION

[0036] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0038] Embodiment 1

[0039] This embodiment is used to remotely control and monitor the refrigeration and heating equipment required by the industrial processing flow during the industrial processing process and remotely push the monitoring results to timely control the execution qualification rate of the industrial processing flow; please refer to Figure 1 As shown, a remote interactive real-time display push system for refrigeration and heating equipment includes a remote monitoring platform, which is communicatively connected to a demand forecasting analysis unit, an operation efficiency analysis unit, an alternating impact analysis unit, and a push terminal. The push terminal in this system is a human-computer interaction terminal device in the prior art, such as a parameter display screen, a parameter voice player, etc.

[0040] The remote monitoring platform generates a demand forecasting analysis signal and sends it to the demand forecasting analysis unit. After receiving the demand forecasting analysis signal, the demand forecasting analysis unit makes a demand forecast for the industrial processing flow, and makes accurate operation decisions for the refrigeration and heating equipment based on the demand forecast, so that the refrigeration and heating equipment can meet the real-time industrial processing needs and ensure the operation efficiency of the industrial processing. At the same time, the temperature can be accurately controlled to improve the accuracy of remote push.

[0041] The industrial processing process is divided into i sub-processes, where i is a natural number greater than 1, and the corresponding floating span growth rates of the same trend corresponding to the reduction in ambient temperature of the equipment running in each sub-process in the industrial processing process and the increase in temperature value of the temperature value reached when the sub-process equipment starts to run are collected, where the same trend floating is represented by the reduction in ambient temperature and the increase in temperature value reaching the operating requirement; and the corresponding floating span growth rates of the same trend corresponding to the reduction in ambient temperature of the equipment running in each sub-process in the industrial processing process and the increase in temperature value of the temperature value reached when the sub-process equipment starts to run are marked as ZJVi; the maximum floating span value increase rate of the equipment starting temperature value at the execution time corresponding to different execution cycles of each sub-process in the industrial processing project is obtained as the sub-process is repeatedly executed, and the maximum floating span value increase rate of the equipment starting temperature value at the execution time corresponding to different execution cycles of each sub-process in the industrial processing project is marked as SGVi;

[0042] The interval between the startup temperature requirement value of the operating equipment of each sub-process in the industrial processing project and the temperature value at the current moment and the rate of increase of the excess value of the temperature control amount per unit time are obtained, and the interval between the startup temperature requirement value of the operating equipment of each sub-process in the industrial processing project and the temperature value at the current moment and the rate of increase of the excess value of the temperature control amount per unit time are marked as DCZi; wherein the unit time is represented as the set duration threshold of the temperature control;

[0043] The growth rate of the floating span with the same trend, the increase rate of the maximum floating span value, and the increase rate of the temperature multiple value are uniformly marked as operation demand parameters, and the above collected data are substituted into the formula to obtain the temperature demand forecast analysis coefficient YCi, where the formula is:

[0044]

[0045] Among them, fk1, fk2 and fk3 are the preset proportional coefficients of the same trend floating span growth rate, the maximum floating span value increase rate and the temperature excess value increase rate, and e is a natural constant. α and β are error correction factors, which are 1.1 and 0.9 respectively;

[0046] Compare the temperature demand forecast analysis coefficient YCi with the temperature demand forecast analysis coefficient threshold:

[0047] If the temperature demand prediction analysis coefficient YCi exceeds the temperature demand prediction analysis coefficient threshold, it is determined that the corresponding sub-process in the current industrial processing project needs temperature control, and a temperature control decision signal is generated and sent to the remote monitoring platform. After receiving the temperature control decision signal, the remote monitoring platform sends the number of the corresponding sub-process to the push terminal. The push terminal integrates the sub-process number and the real-time temperature fluctuation trend into a curve chart and displays it through the display device. The administrator performs targeted regulation based on the display content;

[0048] If the temperature demand prediction analysis coefficient YCi does not exceed the temperature demand prediction analysis coefficient threshold, it is determined that the corresponding sub-process in the current industrial processing project does not need temperature control, and a temperature control no-decision signal is generated and sent to the remote monitoring platform. After the remote monitoring platform receives the temperature control no-decision signal, it sends the number of the corresponding sub-process to the push terminal. After receiving it, the push terminal pushes and displays the current execution temperature of the sub-process and the execution temperature of the historical adjacent moments. The administrator monitors the temperature fluctuation according to the temperature records at adjacent moments. In this system, the time interval between adjacent moments is set according to the sensor acquisition cycle.

[0049] With the execution of each sub-process and the operation decision of the refrigeration and heating equipment in the industrial processing, the remote monitoring platform generates an operation efficiency analysis signal and sends the operation efficiency analysis signal to the operation efficiency analysis unit. After receiving the operation efficiency analysis signal, the operation efficiency analysis unit monitors the operation of the sub-process in the industrial processing with the refrigeration and heating equipment, and determines whether the operation efficiency of the sub-process in the refrigeration and heating equipment meets the actual demand, thereby ensuring the high efficiency of the sub-process operation. At the same time, the refrigeration and heating equipment can be used reasonably to ensure that the temperature of the sub-process at each moment during the execution process meets the actual temperature demand, so that the entire industrial processing process is executed more smoothly without rework;

[0050] The sub-process executed by the refrigeration and heating equipment is set as the temperature control process, and the operation efficiency of the temperature control process is analyzed to obtain the reduction in the floating span value of the temperature value corresponding to the floating trend before and after the operation of the refrigeration and heating equipment during the continuous increase in the temperature floating trend of the temperature control process in the industrial processing process, as well as the duration of the temperature rising trend of the temperature control process after the operation of the refrigeration and heating equipment and the interval duration of the temperature non-rising trend of the temperature of the temperature control process after the operation of the refrigeration and heating equipment is turned off. The corresponding time ratio is marked as temperature control information and temperature constant information, respectively, and compared with the temperature value floating span value reduction threshold and time ratio threshold respectively:

[0051] If the temperature floating trend of the temperature control process in the industrial processing process continues to rise, and the reduction amount of the floating span value of the temperature value corresponding to the floating trend before and after the operation of the refrigeration and heating equipment does not exceed the temperature value floating span value reduction threshold, or the duration of the temperature rising trend of the temperature control process after the operation of the refrigeration and heating equipment and the interval time of the temperature non-rising trend of the temperature control process after the refrigeration and heating equipment is shut down The corresponding time ratio exceeds the time ratio threshold, then it is determined that the operation efficiency analysis of the industrial processing process is unqualified, and an unqualified operation efficiency signal is generated and sent to the remote monitoring platform together with the corresponding temperature control process number; after receiving the unqualified operation efficiency signal, the remote monitoring platform will display the real-time temperature floating trend of the temperature control process in the industrial processing process and the temperature value at the corresponding time, and after the operation of the refrigeration and heating equipment, the temperature trend change trajectory and the temperature values ​​at each time of the corresponding change trajectory are displayed, and the degree of change of the temperature trajectory at each time is adjusted in real time, thereby improving the monitoring efficiency and timeliness of the refrigeration and heating equipment;

[0052] If during the industrial processing process, during which the temperature floating trend of the temperature control process continues to rise, the decrease in the floating span value of the temperature value corresponding to the floating trend before and after the operation of the refrigeration and heating equipment exceeds the temperature value floating span value decrease threshold, and the duration of the temperature rising trend of the temperature control process after the operation of the refrigeration and heating equipment and the interval duration of the temperature non-rising trend of the temperature control process after the refrigeration and heating equipment is shut down to change the rising trend of the temperature do not exceed the duration ratio threshold, then it is determined that the operation efficiency analysis of the industrial processing process is qualified, and a qualified operation efficiency signal is generated and sent to the remote monitoring platform together with the corresponding temperature control process number. After receiving the qualified operation efficiency signal, the remote monitoring platform displays the real-time temperature value and temperature control amount through the push terminal;

[0053] At the same time, an alternating impact analysis signal is generated and sent to the alternating impact analysis unit. After receiving the alternating impact analysis signal, the alternating impact analysis unit performs temperature alternating impact analysis on each sub-process in the industrial processing process, and determines whether the operating efficiency of the refrigeration and heating equipment is qualified when the sub-process requires temperature alternating regulation in the industrial processing process, thereby inferring whether the processing temperature requirement of the current sub-process affects the operating efficiency of the refrigeration and heating equipment, so as to ensure the operating stability of the refrigeration and heating equipment, and at the same time ensure that the sub-process is operating qualified to ensure the normal development of industrial processing;

[0054] According to the temperature control demand of the temperature control process, it is divided into an operation demand heating period and an operation demand cooling period, and the maximum temperature control value deviation corresponding to the same trend temperature control in the operation cycle of the refrigeration and heating equipment is obtained when the operation demand heating period and the operation demand cooling period of the temperature control process are not adjacent, where the same trend temperature control is expressed as the heating control temperature trend in the heating period and the cooling control temperature trend in the cooling period; at the same time, the maximum deviation value corresponding to the temperature demand value and the actual temperature value at the temperature control switching moment of the refrigeration and heating equipment is obtained when the operation demand heating period and the operation demand cooling period of the temperature control process are adjacent, and the operation demand heating period and the operation demand cooling period of the temperature control process are not adjacent. The maximum temperature control value deviation corresponding to the same trend temperature control within the operation cycle of the refrigeration and heating equipment, the maximum deviation value corresponding to the temperature demand value and the actual temperature value at the time of temperature control switching of the refrigeration and heating equipment when the temperature control process operation demand heating period and the operation demand cooling period are adjacent are marked as adjacent control data and non-adjacent control data, and are compared with the maximum temperature control value deviation threshold and the maximum temperature deviation threshold respectively: It can be understood that when the temperature control amount deviation per unit time does not exceed the set deviation during the same trend temperature control within the operation cycle of the refrigeration and heating equipment, if the deviation value is too large, it means that the temperature control amount is affected when the time periods are adjacent and alternating, resulting in too little temperature control amount at a certain moment;

[0055] If the maximum temperature control value deviation corresponding to the same trend temperature control in the operation cycle of the refrigeration and heating equipment is not adjacent to the operation demand heating period and the operation demand cooling period of the temperature control process, exceeds the maximum temperature control value deviation threshold, or the maximum deviation between the temperature demand value and the actual temperature value of the refrigeration and heating equipment at the time of temperature control switching when the operation demand heating period and the operation demand cooling period of the temperature control process are adjacent to each other, then it is determined that the alternating impact analysis of the temperature control process during the operation of the refrigeration and heating equipment is abnormal, an alternating high impact signal is generated, and the alternating high impact signal and the corresponding temperature control time are sent to the push terminal together, and the push terminal monitors and displays the temperature control time and the temperature control amount in real time. The administrator performs operation detection of the corresponding temperature control process according to the real-time display content and adjusts the operation of the refrigeration and heating equipment when no abnormality is detected, thereby improving the monitoring sensitivity of the sensor and accelerating the temperature control speed of the sensor;

[0056] If the maximum temperature control value deviation corresponding to the same trend temperature control in the operation cycle of the refrigeration and heating equipment does not exceed the maximum temperature control value deviation threshold when the operation demand heating period and the operation demand cooling period of the temperature control process are not adjacent, and the maximum deviation between the temperature demand value and the actual temperature value of the refrigeration and heating equipment at the time of temperature control switching when the operation demand heating period and the operation demand cooling period of the temperature control process are adjacent does not exceed the maximum temperature deviation threshold, then it is determined that the alternating impact analysis of the temperature control process during the operation of the refrigeration and heating equipment is normal, and an alternating low impact signal is generated and sent together with the alternating low impact signal and the corresponding temperature control time to the push terminal, and the push terminal monitors and displays the temperature control time and temperature control amount in real time;

[0057] Embodiment 2

[0058] In the previous embodiment, the refrigeration and heating equipment and the industrial processing sub-process are monitored for coordinated operation to ensure that the refrigeration and heating equipment operates properly and pushes in time while improving the processing efficiency of the sub-process. This embodiment further detects the operation of the previous embodiment to ensure that the push efficiency meets the actual needs; please refer to Figure 2 As shown, there is a collection deviation detection platform connected between the push terminal and the remote monitoring platform;

[0059] When the push terminal pushes the industrial processing in real time, it generates a collection deviation detection signal and sends the collection deviation detection signal to the collection deviation detection unit. After receiving the collection deviation detection signal, the collection deviation detection unit detects the temperature collection deviation during the operation of the refrigeration and heating equipment to ensure that the refrigeration and heating equipment meets the temperature control requirements of the industrial processing sub-process. At the same time, it improves the accuracy and credibility of the real-time push of industrial processing, which is convenient for administrators to operate and maintain;

[0060] The temperature control time deviation of the temperature control process running equipment reaching the required temperature value before and after the operation of the refrigeration and heating equipment is obtained, and at the same time, the time deviation of the current total operation time of the temperature control process running equipment after the operation of the refrigeration and heating equipment and the total cumulative time for the temperature control process running equipment to adjust to the required temperature value is collected, and the temperature control time deviation of the temperature control process running equipment reaching the required temperature value before and after the operation of the refrigeration and heating equipment, and the time deviation of the current total operation time of the temperature control process running equipment after the operation of the refrigeration and heating equipment and the total cumulative time for the temperature control process running equipment to adjust to the required temperature value are marked as temperature control time information and temperature control time information, respectively, and compared with the temperature control time deviation threshold and the temperature control time deviation threshold, respectively:

[0061] If the temperature control time deviation of the temperature control process running equipment to reach the required temperature value before and after the operation of the refrigeration and heating equipment exceeds the temperature control time deviation threshold, and the time deviation of the current total operation time of the temperature control process running equipment after the operation of the refrigeration and heating equipment and the total cumulative time for the temperature control process running equipment to adjust to the required temperature value does not exceed the temperature control time deviation threshold, then it is determined that the temperature acquisition deviation detection during the operation of the industrial processing and refrigeration and heating equipment is normal, and a normal acquisition deviation detection signal is generated and sent to the remote monitoring platform. After the remote monitoring platform receives the normal acquisition deviation detection signal, the real-time acquisition data deviation of the sensor installation position of each part is pushed through the push terminal, and the historical adjacent acquisition data is no longer displayed after the acquisition data at adjacent times are pushed;

[0062] If the temperature control time deviation of the temperature control process running equipment to reach the required temperature value before and after the operation of the refrigeration and heating equipment does not exceed the temperature control time deviation threshold, or the time deviation of the current total operation time of the temperature control process running equipment and the total cumulative time for the temperature control process running equipment to adjust to the required temperature value after the operation of the refrigeration and heating equipment exceeds the temperature control time deviation threshold, then it is determined that the temperature acquisition deviation detection is abnormal during the operation of the industrial processing and refrigeration and heating equipment, and an acquisition deviation detection abnormality signal is generated and sent to the remote monitoring platform. After receiving the acquisition deviation detection abnormality signal, the remote monitoring platform re-plans the sensor installation position of each part according to the real-time acquisition data deviation, and adjusts the acquisition sensitivity of the sensor; and pushes the real-time adjusted sensitivity and planned position through the push terminal;

[0063] See also Figure 3 As shown, a remote interactive real-time display push method for refrigeration and heating equipment is described, and the specific push method is as follows:

[0064] Step 1: Demand forecasting: forecast the demand for industrial processing, divide the industrial processing into several sub-processes, obtain the operation demand parameters and substitute them into the formula to obtain the temperature demand forecast analysis coefficient, and judge whether the industrial processing sub-process needs to be pushed for temperature control based on the coefficient comparison;

[0065] Step 2: Operation efficiency analysis: monitor the operation of the sub-process in the industrial processing process in coordination with the refrigeration and heating equipment, set the sub-process in coordination with the refrigeration and heating equipment as the temperature control process, obtain the temperature control information and temperature constant information of the temperature control process, and infer whether the coordinated operation efficiency is qualified based on the information comparison and push it;

[0066] Step 3: Alternating impact analysis: Perform temperature alternating impact analysis on each sub-process in the industrial processing process. According to the temperature control requirements of the temperature control process, it is divided into the operation demand heating period and the operation demand cooling period. Adjacent control data and non-adjacent control data are collected. Based on data comparison, it is inferred whether the temperature alternating impact is normal and pushed;

[0067] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0068] When the present invention is in use, the demand forecasting and analysis unit forecasts the demand for the industrial processing flow, obtains the operating demand parameters and substitutes them into the formula to obtain the temperature demand forecasting and analysis coefficient, and judges whether the industrial processing sub-process needs temperature control and pushes it according to the coefficient comparison; the operating efficiency analysis unit monitors the operation of the sub-process in the industrial processing process in coordination with the refrigeration and heating equipment, obtains the temperature control information and temperature constancy information of the temperature control process, infers whether the coordinated operating efficiency is qualified according to the information comparison and pushes it; the alternating impact analysis unit performs temperature alternating impact analysis on each sub-process in the industrial processing process, collects adjacent control data and non-adjacent control data, infers whether the temperature alternating impact is normal according to the data comparison and pushes it.

[0069] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A remote interactive real-time display and push system for refrigeration and heating equipment, characterized in that: Including remote monitoring platform, the remote monitoring platform communication connections are: The demand forecasting and analysis unit is used to forecast the demand for the industrial processing flow, divide the industrial processing process into i sub-processes, where i is a natural number greater than 1, obtain the operation demand parameters and substitute them into the formula to obtain the temperature demand forecasting and analysis coefficient, and judge whether the industrial processing sub-process needs to be pushed for temperature control based on the coefficient comparison; The operation efficiency analysis unit is used to monitor the operation of the sub-process in the industrial processing process in coordination with the refrigeration and heating equipment, set the sub-process in coordination with the refrigeration and heating equipment as the temperature control process, obtain the temperature control information and temperature constant information of the temperature control process, and infer whether the coordinated operation efficiency is qualified based on the information comparison and push it; The alternating impact analysis unit is used to analyze the alternating temperature impact of each sub-process in the industrial processing process. It is divided into the operating demand heating period and the operating demand cooling period according to the temperature control requirements of the temperature control process, and adjacent control data and non-adjacent control data are collected. Based on the data comparison, it is inferred whether the temperature alternating impact is normal and pushed.

2. A remote interactive real-time display and push system for refrigeration and heating equipment according to claim 1, characterized in that: The operating demand parameters include the decrease in ambient temperature of the equipment running in each sub-process during the industrial processing and the increase in the temperature value required to reach the temperature value when the sub-process equipment starts running, the corresponding floating span growth rate with the same trend, the maximum floating span value increase rate of the equipment starting temperature value corresponding to the execution time of different execution cycles of each sub-process as the sub-process is repeatedly executed in the industrial processing project, the interval between the startup temperature requirement value of the equipment running in each sub-process in the industrial processing project and the temperature value at the current moment, and the excess value increase rate of the temperature control value per unit time.

3. A remote interactive real-time display and push system for refrigeration and heating equipment according to claim 2, characterized in that: The system comparison process is as follows: If the temperature demand prediction analysis coefficient exceeds the temperature demand prediction analysis coefficient threshold, a temperature control decision signal is generated and the temperature control decision signal is sent to the remote monitoring platform; if the temperature demand prediction analysis coefficient does not exceed the temperature demand prediction analysis coefficient threshold, a temperature control no decision signal is generated and the temperature control no decision signal is sent to the remote monitoring platform.

4. A remote interactive real-time display and push system for refrigeration and heating equipment according to claim 3, characterized in that: After receiving the temperature control decision signal, the remote monitoring platform will send the number of the corresponding sub-process to the push terminal. The push terminal will integrate the sub-process number and the real-time temperature fluctuation trend into a curve chart and display it through the display device. The administrator will make targeted adjustments based on the display content. After receiving the temperature control no-decision signal, the remote monitoring platform will send the number of the corresponding sub-process to the push terminal. After receiving it, the push terminal will push and display the current execution temperature of the sub-process and the execution temperature at the adjacent historical moments. The administrator will monitor the temperature fluctuation based on the temperature records at the adjacent moments.

5. A remote interactive real-time display and push system for refrigeration and heating equipment according to claim 1, characterized in that: The temperature control information and constant temperature information are respectively the reduction in the floating span value of the temperature numerical value corresponding to the floating trend before and after the operation of the refrigeration and heating equipment during the continuous rising trend of the temperature floating trend of the temperature control process in the industrial processing process, and the duration of the temperature rising trend of the temperature control process after the operation of the refrigeration and heating equipment and the interval time ratio of the non-rising trend of the temperature of the temperature control process to the rising trend after the operation of the refrigeration and heating equipment is shut down.

6. A remote interactive real-time display push system for refrigeration and heating equipment according to claim 5, characterized in that: The information comparison process is as follows: If the temperature control information does not exceed the temperature numerical floating span value reduction threshold, or the temperature constant information exceeds the duration ratio threshold, an unqualified operation efficiency signal is generated and the unqualified operation efficiency signal and the corresponding temperature control process number are sent to the remote monitoring platform; If the temperature control information exceeds the temperature numerical floating span value reduction threshold, and the temperature constant information does not exceed the duration ratio threshold, a qualified operation efficiency signal is generated and the qualified operation efficiency signal and the corresponding temperature control process number are sent to the remote monitoring platform.

7. A remote interactive real-time display and push system for refrigeration and heating equipment according to claim 6, characterized in that: After the remote monitoring platform receives a signal that the operating efficiency is unqualified, it will display the real-time temperature fluctuation trend of the temperature control process in the industrial processing process and the temperature values ​​at the corresponding moments, and after the refrigeration and heating equipment is running, it will display the temperature trend change trajectory and the temperature values ​​at each moment of the corresponding change trajectory, and perform real-time regulation on the degree of change of the temperature trajectory at each moment; after the remote monitoring platform receives a signal that the operating efficiency is qualified, it will display the real-time temperature value and temperature control amount through the push terminal.

8. A remote interactive real-time display and push system for refrigeration and heating equipment according to claim 1, characterized in that: The adjacent control data and non-adjacent control data are respectively the maximum temperature control value deviation corresponding to the same trend temperature control in the operation cycle of the refrigeration and heating equipment when the operation demand heating period and the operation demand cooling period of the temperature control process are not adjacent, and the maximum deviation value corresponding to the temperature demand value and the actual temperature value at the time of temperature control switching of the refrigeration and heating equipment when the operation demand heating period and the operation demand cooling period of the temperature control process are adjacent; If the adjacent control data exceeds the maximum temperature control value deviation threshold, or the non-adjacent control data exceeds the temperature maximum deviation threshold, an alternating high impact signal is generated and the alternating high impact signal and the corresponding temperature control time are sent to the push terminal; If the adjacent control data does not exceed the maximum temperature control value deviation threshold, and the non-adjacent control data does not exceed the temperature maximum deviation threshold, an alternating low impact signal is generated and the alternating low impact signal and the corresponding temperature control time are sent to the push terminal.

9. A remote interactive real-time display and push system for refrigeration and heating equipment according to claim 8, characterized in that: After the push terminal receives the alternating high impact signal, it monitors and displays the temperature control time and temperature control amount in real time. The administrator performs operation detection of the corresponding temperature control process based on the real-time display content and adjusts the operation of the refrigeration and heating equipment when no abnormalities are detected. After the push terminal receives the alternating high impact signal, it monitors and displays the temperature control time and temperature control amount in real time.

10. A remote interactive real-time display push method for refrigeration and heating equipment, characterized in that: A remote interactive real-time display push system for refrigeration and heating equipment as described in any one of claims 1 to 9 above.

Images