A remote interaction real-time display pushing method and system for a refrigeration and heating device

Abstract

The application discloses a kind of refrigeration heating equipment remote interaction real-time display push method and system, it is related to remote interaction push technical field, solve the technical problem that cannot be carried out influence analysis when the temperature demand control temperature trend of existing technology in industrial process alternates, so as to cannot accurately monitor temperature control efficiency, specifically, alternate influence analysis unit carries out temperature alternate influence analysis to each sub-process in industrial processing process, according to the temperature control requirement of temperature control process, is divided into operating requirement temperature rising period and operating requirement temperature falling period, and adjacent control data and non-adjacent control data are collected, whether temperature alternation influence is normal according to data comparison and is pushed;So as to ensure the operation stability of refrigeration heating equipment, whether the processing temperature demand of current sub-process affects the operating efficiency of refrigeration heating equipment is inferred.

Description

Technical Field

[0001] This invention relates to the field of remote interactive push technology, specifically to a method and system for remote interactive real-time display and push of refrigeration and heating equipment. Background Technology

[0002] Industrial HMI, also known as industrial human-machine interface, is an intelligent interface that connects people and machines through a touch-screen industrial display. It replaces traditional control buttons and indicator lights as an intelligent operation display terminal. In industrial processing, the required temperatures of various processing equipment are different, so it is crucial to coordinate with refrigeration and heating equipment to control the temperature and remotely push the temperature.

[0003] However, existing technologies cannot predict whether the current industrial process requires the use of refrigeration and heating equipment based on real-time demand, nor can they infer whether the current operating efficiency is up to standard based on operational analysis. As a result, they cannot guarantee the stable operation of refrigeration and heating equipment, nor can they guarantee the normal progress of industrial processing. Furthermore, they cannot perform impact analysis when the temperature control trend of the industrial process temperature demand alternates, thus they cannot accurately monitor temperature control efficiency and cannot make timely adjustments in case of abnormalities.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

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

[0006] The objective of this 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, the communication connection of which includes:

[0008] The demand forecasting and analysis unit is used to forecast the demand for industrial processing. It divides the industrial processing into i sub-processes, where i is a natural number greater than 1. It obtains the operating demand parameters and substitutes them into the formula to obtain the temperature demand forecasting and analysis coefficient. Based on the coefficient comparison, it determines whether the industrial processing sub-process needs temperature control and pushes the data accordingly.

[0009] The operation efficiency analysis unit is used to monitor the operation of sub-processes in conjunction with refrigeration and heating equipment during industrial processing. It sets the sub-processes executed in conjunction with refrigeration and heating equipment as temperature control processes, obtains temperature control information and temperature constant information of the temperature control processes, and infers whether the operation efficiency is qualified based on information comparison and pushes the results.

[0010] The alternating influence analysis unit is used to perform temperature alternating influence analysis on each sub-process in the industrial processing. It divides the temperature control process into operating demand heating period and operating demand cooling period according to the temperature control requirements. It collects adjacent control data and non-adjacent control data, infers whether the temperature alternating influence is normal based on data comparison, and pushes the results accordingly.

[0011] As a preferred embodiment of the present invention, the operational requirement parameters include the rate of increase of the fluctuation span corresponding to the decrease in ambient temperature around the operating equipment of each subprocess during industrial processing and the increase in the temperature value required for the start-up of the subprocess operating equipment; the rate of increase of the maximum fluctuation span of the equipment's initial temperature value at different execution cycles corresponding to the repeated execution of each subprocess in the industrial processing project; and the rate of increase of the difference between the interval between the start-up temperature requirement value of each subprocess operating equipment and the current temperature value and the excess value of the temperature control amount per unit time in the industrial processing project.

[0012] In 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 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 sent to the remote monitoring platform.

[0014] In a preferred embodiment of the present invention, after receiving a temperature control decision signal, the remote monitoring platform sends the corresponding sub-process number to the push terminal. The push terminal integrates the sub-process number and the real-time temperature fluctuation trend into a curve and displays it through a display device. The administrator makes targeted adjustments based on the displayed content. After receiving a temperature control no-decision signal, the remote monitoring platform sends the corresponding sub-process number to the push terminal. After receiving the signal, the push terminal pushes and displays the current execution temperature of the sub-process and the execution temperatures at adjacent historical times. The administrator monitors temperature fluctuations based on the temperature records at adjacent times.

[0015] In a preferred embodiment of the present invention, the temperature control information and the temperature constant information are respectively the amount of reduction in the temperature fluctuation range corresponding to the temperature fluctuation trend before and after the operation of the refrigeration and heating equipment during the continuous upward trend of the temperature fluctuation trend in the temperature control process during industrial processing, and the ratio of the duration of the temperature rise trend in the temperature control process after the operation of the refrigeration and heating equipment to the interval between the non-rising trend and the rising trend of the temperature in the temperature control process after the operation of the refrigeration and heating equipment is turned off.

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

[0017] If the temperature control information does not exceed the threshold for the decrease in temperature value fluctuation range, or if the temperature constant information exceeds the threshold for the duration ratio, an operating efficiency failure signal will be generated and sent to the remote monitoring platform along with the corresponding temperature control process number.

[0018] If the temperature control information exceeds the threshold for the decrease in temperature value fluctuation range, and the temperature constant information does not exceed the threshold for the duration ratio, then an operating efficiency qualified signal is generated and sent to the remote monitoring platform along with the corresponding temperature control process number.

[0019] In a preferred embodiment of the present invention, after receiving a signal indicating that the operating efficiency is not up to standard, the remote monitoring platform displays the real-time temperature fluctuation trend of the temperature control process during industrial processing and the corresponding temperature value at each moment. After the refrigeration and heating equipment is running, the platform displays the temperature trend change trajectory and the corresponding temperature value at each moment, and adjusts the degree of temperature trajectory change at each moment in real time. After receiving a signal indicating that the operating efficiency is up to standard, the remote monitoring platform displays the real-time temperature value and temperature control quantity through the push terminal.

[0020] In a preferred embodiment of the present invention, the adjacent control data and the non-adjacent control data are respectively the maximum temperature control value deviation corresponding to the same trend temperature control within the operating cycle of the refrigeration and heating equipment when the operating demand heating period and the operating demand cooling period are not adjacent, and the maximum deviation between the temperature demand value and the actual temperature value at the temperature control switching moment of the refrigeration and heating equipment when the operating demand heating period and the operating demand cooling period are adjacent.

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

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

[0023] In a preferred embodiment of the present invention, after receiving the alternating high-impact signal, the push terminal performs real-time monitoring and display of the temperature control time and temperature control quantity. 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 abnormality is detected. After receiving the alternating high-impact signal, the push terminal performs real-time monitoring and display of the temperature control time and temperature control quantity.

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

[0025] Step 1: Demand Forecasting. Forecast the demand for the industrial processing flow. Divide the industrial processing flow into several sub-processes, obtain the operating demand parameters and substitute them into the formula to obtain the temperature demand forecasting analysis coefficient. Based on the coefficient comparison, determine whether the industrial processing sub-processes need temperature control and push it accordingly.

[0026] Step 2: Operational efficiency analysis. Monitor the operation of sub-processes in conjunction with refrigeration and heating equipment during industrial processing. Set the sub-processes executed in conjunction with refrigeration and heating equipment as temperature control processes. Obtain temperature control information and temperature constantness information of the temperature control processes. Based on information comparison, infer whether the operation efficiency is qualified and push the results accordingly.

[0027] Step 3: Alternating Influence Analysis. Perform temperature alternation influence analysis on each sub-process within the industrial processing. Based on the temperature control requirements of the temperature control process, divide it into operating demand heating periods and operating demand cooling periods. Collect adjacent control data and non-adjacent control data, and infer whether the temperature alternation influence is normal based on data comparison and make recommendations accordingly.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] 1. In this invention, demand forecasting is performed on the industrial processing flow, and the operation decisions of refrigeration and heating equipment are accurately made based on the demand forecast. This ensures that the refrigeration and heating equipment can meet the real-time industrial processing needs, guarantee the operational efficiency of industrial processing, and accurately control the temperature, thus improving the accuracy of remote push. The operation of sub-processes in conjunction with refrigeration and heating equipment during industrial processing is monitored to determine whether the operating efficiency of sub-processes in conjunction with refrigeration and heating equipment meets the actual needs. This ensures that the sub-processes operate efficiently and that refrigeration and heating equipment is used rationally, ensuring that the temperature of each sub-process meets the actual temperature requirements at each moment during execution. This makes the entire industrial processing process smoother and eliminates rework.

[0030] 2. In this invention, the temperature alternation effect analysis of each sub-process in the industrial processing is performed to determine whether the operating efficiency of the refrigeration and heating equipment is qualified when the temperature alternation control of the sub-process is required in the industrial processing. This allows for the inference of whether the current processing temperature requirement of the sub-process affects the operating efficiency of the refrigeration and heating equipment, thereby ensuring the operational stability of the refrigeration and heating equipment and ensuring the qualified operation of the sub-process to guarantee the normal operation of industrial processing.

[0031] 3. In this invention, temperature acquisition deviations during the operation of refrigeration and heating equipment are detected to ensure that the refrigeration and heating equipment meets the temperature control requirements of industrial processing sub-processes. At the same time, the accuracy and reliability of real-time industrial processing data are improved, making it easier for administrators to operate, maintain, and repair the equipment. Attached Figure Description

[0032] To facilitate understanding by those skilled in the art, the present invention will be 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 schematic diagram of the principle of Embodiment 2 of the present invention;

[0035] Figure 3 This is a flowchart of the overall method of the present invention. Detailed Implementation

[0036] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

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

[0038] Example 1

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

[0040] The remote monitoring platform generates demand forecasting and analysis signals and sends them to the demand forecasting and analysis unit. After receiving the demand forecasting and analysis signals, the demand forecasting and analysis unit performs demand forecasting on the industrial processing flow and makes accurate operational decisions for refrigeration and heating equipment based on the demand forecasts. This ensures that the refrigeration and heating equipment can meet the real-time industrial processing needs, guarantee the operational efficiency of industrial processing, and accurately control the temperature, thus improving the accuracy of remote push notifications.

[0041] The industrial processing process is divided into i sub-processes, where i is a natural number greater than 1. The rate of increase in the ambient temperature surrounding the equipment in each sub-process is collected, corresponding to the decrease in ambient temperature and the increase in the temperature required for the equipment to start. This rate of increase is denoted as ZJVi. The maximum rate of increase in the initial temperature of the equipment at different execution cycles of each sub-process is obtained and denoted as SGVi.

[0042] The interval between the starting temperature requirement value of the operating equipment and the current temperature value in each subprocess of the industrial processing project is obtained, along with the rate of increase of the excess value of the temperature control amount per unit time. The rate of increase of the interval between the starting temperature requirement value of the operating equipment and the current temperature value in each subprocess of the industrial processing project and the excess value of the temperature control amount per unit time is marked as DCZi; where the unit time represents the set duration threshold of temperature control.

[0043] The growth rate of the same-trend floating span, the increase rate of the maximum floating span value, and the increase rate of the excess temperature value are uniformly labeled as operational demand parameters. The collected data are then substituted into the formula to obtain the temperature demand prediction analysis coefficient YCi, where the formula is:

[0044]

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

[0046] Compare the temperature demand forecasting analysis coefficient YCi with the temperature demand forecasting 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. 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 corresponding sub-process number to the push terminal. The push terminal integrates the sub-process number and the real-time temperature fluctuation trend into a curve and displays it through the display device. The administrator makes targeted adjustments based on the displayed 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 require temperature control. A temperature control no-decision signal is generated and sent to the remote monitoring platform. After receiving the temperature control no-decision signal, the remote monitoring platform sends the corresponding sub-process number to the push terminal. After receiving the signal, the push terminal pushes and displays the current execution temperature of the sub-process and the execution temperature at adjacent historical times. The administrator monitors temperature fluctuations based on the temperature records at adjacent times. In this system, the time interval between adjacent times is set according to the sensor acquisition cycle.

[0049] As various sub-processes in the industrial processing are executed and the refrigeration and heating equipment makes operational decisions, the remote monitoring platform generates operational efficiency analysis signals and sends these signals to the operational efficiency analysis unit. Upon receiving the operational efficiency analysis signals, the operational efficiency analysis unit monitors the operation of the sub-processes in conjunction with the refrigeration and heating equipment during the industrial processing, and determines whether the operational efficiency of the sub-processes in conjunction with the refrigeration and heating equipment meets the actual requirements. This ensures that the sub-processes operate efficiently and that the refrigeration and heating equipment is used rationally, ensuring that the temperature of the sub-processes at various times during execution meets the actual temperature requirements. This makes the entire industrial processing process run more smoothly and eliminates rework.

[0050] The sub-process executed in conjunction with the refrigeration and heating equipment is defined as the temperature control process. An operational efficiency analysis is performed on the temperature control process to obtain the reduction in the temperature fluctuation range corresponding to the temperature fluctuation trend before and after the refrigeration and heating equipment starts operating during the continuous upward temperature fluctuation trend in the industrial processing process. The ratio of the duration of the temperature rise trend after the refrigeration and heating equipment starts operating to the interval between the non-rising trend and the rising trend after the refrigeration and heating equipment stops operating is also recorded as temperature control information and temperature constancy information, respectively. These are then compared with thresholds for the reduction in temperature fluctuation range and the duration ratio.

[0051] If, during industrial processing, the temperature fluctuation trend of the temperature control process continues to rise, and the decrease in the corresponding temperature value fluctuation span before and after the operation of the refrigeration and heating equipment does not exceed the threshold for the decrease in temperature value fluctuation span, or if the ratio of the duration of the temperature rise trend after the refrigeration and heating equipment starts operating to the interval between the non-rising trend and the rising trend after the refrigeration and heating equipment stops operating exceeds the threshold for the duration ratio, then the operational efficiency analysis of the industrial processing process is deemed unqualified. An operational efficiency failure signal is generated and sent to the remote monitoring platform along with the corresponding temperature control process number. Upon receiving the operational efficiency failure signal, the remote monitoring platform displays the real-time temperature fluctuation trend of the temperature control process during industrial processing and the corresponding temperature values ​​at each moment. After the refrigeration and heating equipment starts operating, it displays the temperature trend change trajectory and the corresponding temperature values ​​at each moment of the change trajectory. Real-time adjustment is made based on the degree of temperature trajectory change at each moment, improving the monitoring efficiency and timeliness of the refrigeration and heating equipment.

[0052] If, during the industrial processing, the temperature fluctuation trend of the temperature control process continues to rise, and the decrease in the corresponding temperature value fluctuation span before and after the operation of the refrigeration and heating equipment exceeds the threshold for the decrease in the temperature value fluctuation span, and the ratio of the duration of the temperature rise trend after the operation of the refrigeration and heating equipment to the interval between the non-rising trend and the rising trend after the operation of the refrigeration and heating equipment is turned off does not exceed the time ratio threshold, then the operation efficiency analysis of the industrial processing process is deemed qualified, an operation efficiency qualified signal is generated, and the operation efficiency qualified signal and the corresponding temperature control process number are sent to the remote monitoring platform. After receiving the operation efficiency qualified signal, the remote monitoring platform displays the real-time temperature value and temperature control quantity through the push terminal.

[0053] Simultaneously, an alternating influence analysis signal is generated and sent to the alternating influence analysis unit. After receiving the alternating influence analysis signal, the alternating influence analysis unit performs temperature alternating influence analysis on each sub-process in the industrial processing, and determines whether the operating efficiency of the refrigeration and heating equipment is qualified when the sub-process requires temperature alternating control. This allows the unit to infer whether the current processing temperature requirement of the sub-process affects the operating efficiency of the refrigeration and heating equipment, thereby ensuring the operational stability of the refrigeration and heating equipment and ensuring the qualified operation of the sub-process to guarantee the normal operation of industrial processing.

[0054] Based on the temperature control requirements of the temperature control process, the process is divided into a heating period and a cooling period. The maximum temperature control deviation corresponding to the same trend temperature control within the operating cycle of the refrigeration and heating equipment is obtained when the heating and cooling periods are not adjacent. The same trend temperature control refers to the heating control temperature trend within the heating period and the cooling control temperature trend within the cooling period. Simultaneously, the maximum deviation between the required temperature value and the actual temperature value at the temperature control switching moment of the refrigeration and heating equipment when the heating and cooling periods are adjacent is obtained. The process is further divided into periods where the heating and cooling periods are not adjacent. The maximum deviation of the maximum temperature control value corresponding to the same trend temperature control within the operating cycle of the refrigeration and heating equipment, and the maximum deviation between the temperature demand value and the actual temperature value at the moment of temperature control switching when the temperature control process requires heating and cooling periods are adjacent, are marked as adjacent control data and non-adjacent control data, respectively, and 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 deviation per unit time is within the same trend temperature control within the operating cycle of the refrigeration and heating equipment, it does not exceed the set deviation. If the deviation value is too large, it indicates that the temperature control is affected when the time periods are adjacent and alternating, resulting in insufficient temperature control at a certain moment.

[0055] If the temperature control process's required heating and cooling periods are not adjacent, and the deviation of the maximum temperature control value corresponding to the same trend temperature control within the operating cycle of the refrigeration and heating equipment exceeds the maximum temperature control value deviation threshold, or if the temperature control process's required heating and cooling periods are adjacent, and the maximum deviation between the required temperature value and the actual temperature value at the temperature control switching moment exceeds the maximum temperature deviation threshold, then the alternating influence analysis of the temperature control process during the operation of the refrigeration and heating equipment is determined to be abnormal. An alternating high influence signal is generated and sent to the push terminal along with the corresponding temperature control time. The push terminal monitors and displays the temperature control time and temperature control quantity 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, thereby improving the sensor monitoring sensitivity and accelerating the sensor temperature control speed.

[0056] If the temperature control process's required heating period and required cooling period are not adjacent, and the deviation of the maximum temperature control value corresponding to the same trend temperature control within the operating cycle of the refrigeration and heating equipment does not exceed the maximum temperature control value deviation threshold, and the maximum deviation between the temperature requirement value and the actual temperature value at the temperature control switching moment of the refrigeration and heating equipment when the required heating period and required cooling period are adjacent does not exceed the maximum temperature deviation threshold, then it is determined that the alternating influence analysis of the temperature control process during the operation of the refrigeration and heating equipment is normal, an alternating low influence signal is generated, and the alternating low influence signal and the corresponding temperature control moment are sent to the push terminal together, and the push terminal performs real-time monitoring and display of the temperature control moment and temperature control quantity;

[0057] Example 2

[0058] In the previous embodiment, the coordinated operation monitoring of the refrigeration and heating equipment and the industrial processing sub-process ensured the qualified operation of the refrigeration and heating equipment and timely delivery, while improving the processing efficiency of the sub-process. This embodiment further monitors the operation based on the previous embodiment to ensure that the delivery efficiency meets actual requirements; please refer to... Figure 2 As shown, the communication connection between the push terminal and the remote monitoring platform includes a data acquisition deviation detection platform;

[0059] When the push terminal pushes information about industrial processing in real time, it generates a data acquisition deviation detection signal and sends the signal to the data acquisition deviation detection unit. After receiving the signal, the unit detects the temperature acquisition deviation during the operation of the refrigeration and heating equipment to ensure that the equipment meets the temperature control requirements of the industrial processing sub-process. This also improves the accuracy and reliability of the real-time push notifications and makes it easier for administrators to maintain and repair the equipment.

[0060] The system acquires the temperature control time deviation of the equipment before and after the refrigeration / heating equipment starts operating, and also collects the time deviation between the current total operating time of the equipment and the total cumulative time taken to reach the required temperature. These deviations are then labeled as temperature control time information and temperature control duration information, respectively, and compared with temperature control time deviation thresholds and temperature control duration deviation thresholds.

[0061] If the temperature control time deviation of the temperature control process equipment to reach the required temperature value exceeds the temperature control time deviation threshold before and after the operation of the refrigeration and heating equipment, and the time deviation between the current total operating time of the temperature control process equipment and the total cumulative time of the temperature control process equipment to reach the required temperature value does not exceed the temperature control time deviation threshold, then it is determined that the temperature acquisition deviation detection is normal during the operation of the industrial processing refrigeration and heating equipment. A normal acquisition deviation detection signal is generated and sent to the remote monitoring platform. After receiving the normal acquisition deviation detection signal, the remote monitoring platform pushes the real-time acquisition data deviation of the sensor installation positions of each part through the push terminal, and after the acquisition data at adjacent time is pushed, the historical adjacent acquisition data will no longer be displayed.

[0062] If the temperature control time deviation of the temperature control process equipment reaching 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 if the deviation between the current total operating time of the temperature control process equipment and the total cumulative time of the temperature control process equipment adjusting 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 refrigeration and heating equipment. 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 installation positions of the sensors in each part according to the real-time acquisition data deviation and adjusts the acquisition sensitivity of the sensors; and pushes the real-time adjusted sensitivity and planned position through the push terminal.

[0063] Please see Figure 3 As shown, a method for remote interactive real-time display and push notifications for refrigeration and heating equipment is described below.

[0064] Step 1: Demand Forecasting. Forecast the demand for the industrial processing flow. Divide the industrial processing flow into several sub-processes, obtain the operating demand parameters and substitute them into the formula to obtain the temperature demand forecasting analysis coefficient. Based on the coefficient comparison, determine whether the industrial processing sub-processes need temperature control and push it accordingly.

[0065] Step 2: Operational efficiency analysis. Monitor the operation of sub-processes in conjunction with refrigeration and heating equipment during industrial processing. Set the sub-processes executed in conjunction with refrigeration and heating equipment as temperature control processes. Obtain temperature control information and temperature constantness information of the temperature control processes. Based on information comparison, infer whether the operation efficiency is qualified and push the results accordingly.

[0066] Step 3: Alternating Influence Analysis. Perform temperature alternating influence analysis on each sub-process within the industrial processing. Based on the temperature control requirements of the temperature control process, divide it into operating demand heating periods and operating demand cooling periods. Collect adjacent control data and non-adjacent control data. Based on data comparison, infer whether the temperature alternating influence is normal and push accordingly.

[0067] The above formulas are all derived from software simulation using a large amount of data, and are selected to be close to the true values. The coefficients in the formulas are set by those skilled in the art based on the actual situation.

[0068] 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. Based on the coefficient comparison, it determines whether the industrial processing sub-process needs temperature control and pushes the data accordingly. The operation efficiency analysis unit monitors the operation of the sub-processes in conjunction with the refrigeration and heating equipment during the industrial processing, obtains the temperature control information and temperature constancy information of the temperature control process, infers whether the operation efficiency is qualified based on the information comparison, and pushes the data accordingly. The alternating influence analysis unit performs temperature alternating influence analysis on each sub-process in the industrial processing, collects adjacent control data and non-adjacent control data, infers whether the temperature alternating influence is normal based on the data comparison, and pushes the data accordingly.

[0069] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A remote interaction real-time display push system for a refrigeration and heating device, characterized in that, The remote monitoring platform is in communication connection with: The demand prediction analysis unit is configured to predict the demand of the industrial processing flow, divide the industrial processing flow into i sub-flows, i being a natural number greater than 1, obtain the running demand parameters and substitute them into a formula to obtain a temperature demand prediction analysis coefficient, and determine whether the industrial processing sub-flow needs to be temperature-controlled according to the coefficient comparison; the running demand parameters include a same-trend floating span growth speed corresponding to an environmental temperature reduction amount and a temperature value increase amount of a sub-flow running equipment start-up demand reaching temperature value in each sub-flow of the industrial processing flow, a maximum floating span value increase speed of a device start-up temperature value corresponding to an execution time in each sub-flow of the industrial processing flow in different execution cycles, and an interval amount between a sub-flow running equipment start-up temperature demand value and a current temperature value and an excess value increase speed of a unit time temperature control amount; the same-trend floating indicates the environmental temperature reduction and the increase of the running demand temperature value; The running efficiency analysis unit is configured to monitor the cooperation of the sub-flow and the refrigeration and heating equipment in the industrial processing flow, set the sub-flow executed in cooperation with the refrigeration and heating equipment as a temperature control flow, obtain temperature control information and temperature constant information of the temperature control flow, and determine whether the cooperation running efficiency is qualified according to the information comparison and push; the temperature control information and the temperature constant information are respectively a reduction amount of a temperature value floating span value corresponding to a floating trend before and after the refrigeration and heating equipment is running in a temperature floating trend continuous rising process of the temperature control flow in the industrial processing flow, and a time length ratio corresponding to a temperature rising trend continuous time length of the temperature control flow after the refrigeration and heating equipment is running and an interval time length of a temperature non-rising trend change to a rising trend of the temperature control flow after the refrigeration and heating equipment is turned off; The alternating influence analysis unit is configured to analyze the temperature alternating influence of each sub-flow in the industrial processing flow, divide the temperature control demand of the temperature control flow into a running demand temperature rising period and a running demand temperature falling period, and collect adjacent control data and non-adjacent control data, and determine whether the temperature alternating influence is normal according to the data comparison and push; the adjacent control data and the non-adjacent control data are respectively a maximum temperature control value deviation amount of a same-trend temperature control corresponding to a refrigeration and heating equipment running period in a non-adjacent time of the running demand temperature rising period and the running demand temperature falling period of the temperature control flow, and a maximum deviation value of a temperature demand value and an actual temperature value corresponding to a refrigeration and heating equipment temperature control switching time in an adjacent time of the running demand temperature rising period and the running demand temperature falling period of the temperature control flow; the same-trend temperature control indicates a heating control temperature trend in the temperature rising period and a refrigeration control temperature trend in the temperature falling period; If the adjacent control data exceeds the maximum temperature control value deviation amount threshold or the non-adjacent control data exceeds the maximum deviation value threshold, an alternating high influence signal is generated and sent to the push terminal together with the corresponding temperature control time. 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 sent to the push terminal together with the corresponding temperature control time.

2. The remote interaction real-time display push system of a refrigeration and heating device according to claim 1, 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 regulation decision signal is generated and 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 regulation no decision signal is generated and sent to the remote monitoring platform.

3. The system according to claim 1, wherein, After the remote monitoring platform receives the temperature regulation decision signal, the corresponding sub-process number is sent to the push terminal, and the push terminal integrates the sub-process number and the real-time temperature floating trend into a curve graph and displays it through the display device, and the administrator adjusts according to the display content; after the remote monitoring platform receives the temperature regulation no decision signal, the corresponding sub-process number is sent to the push terminal, and after receiving, the push terminal pushes and displays the current execution temperature of the sub-process and the execution temperature at the historical adjacent time, and the administrator monitors the temperature floating according to the temperature record at the adjacent time.

4. The system according to claim 1, wherein, The information comparison process is as follows: If the temperature control information does not exceed the temperature value floating span value reduction threshold, or the temperature constant information exceeds the time length ratio threshold, an unqualified running efficiency signal is generated and sent to the remote monitoring platform together with the corresponding temperature control process number; If the temperature control information exceeds the temperature value floating span value reduction threshold, and the temperature constant information does not exceed the time length ratio threshold, a qualified running efficiency signal is generated and sent to the remote monitoring platform together with the corresponding temperature control process number.

5. The remote interaction real-time display push system of a refrigeration and heating device according to claim 4, characterized in that, After the remote monitoring platform receives the unqualified running efficiency signal, the real-time temperature floating trend of the temperature control process in the industrial processing process and the temperature value at the corresponding time are displayed, and after the refrigeration and heating equipment is running, the temperature trend change track and the temperature value at each time corresponding to the change track are displayed, and the temperature track change degree at each time is adjusted in real time; after the remote monitoring platform receives the qualified running efficiency signal, the real-time temperature value and the temperature control amount are displayed through the push terminal.

6. The system according to claim 1, wherein, After the push terminal receives the alternating high impact signal, the temperature control time and the temperature control amount are monitored and displayed in real time, and the administrator adjusts the running detection of the corresponding temperature control process according to the real-time display content and adjusts the refrigeration and heating equipment when there is no abnormality; after the push terminal receives the alternating high impact signal, the temperature control time and the temperature control amount are monitored and displayed in real time.

7. A method for pushing real-time display of remote interaction of a refrigeration and heating device, characterized in that, A refrigeration and heating equipment remote interaction real-time display push system is applied to any one of the above claims 1-6. A refrigeration and heating equipment remote interaction real-time display push system is applied to any one of the above claims 1-6.

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